How AI in Telehealth Diagnosis Enhances Remote Healthcare

How AI in Telehealth Diagnosis Enhances Remote Healthcare

AI Health Tech Med Tech

With 76% of U.S. hospitals using telehealth services, AI plays a big role in improving diagnostic accuracy and patient care. In fact, the U.S. telehealth market is expected to reach a value of $590.6 billion by 2032. AI in telehealth diagnosis is a major factor in this surge.

Source: Tateeda

Let’s explore how AI is enhancing medical diagnosis in telehealth, and its applications.

Contents

Applications of AI in Telehealth Diagnosis

AI in healthcare

AI refers to algorithms (computer systems) that can perform tasks that typically require human intelligence. In healthcare, AI encompasses a wide range of technologies designed to assist medical professionals in various aspects of patient care (Davenport & Kalakota, 2019). These applications include:

AI’s ability to process vast amounts of data quickly and identify patterns makes it an invaluable tool in the medical field, where precision and speed can make a significant difference in patient outcomes.

How AI integrates with telehealth platforms

Telehealth platforms are increasingly incorporating AI technologies to enhance their capabilities. This integration allows for more sophisticated remote healthcare services. Here’s how AI typically works within a telehealth system:

  1. Data collection: AI systems gather patient information from various sources, including electronic health records (EHR), wearable devices, and patient-reported symptoms.
  1. Analysis: Advanced algorithms process this data to identify potential health issues or risks.
  1. Decision support: AI provides healthcare providers with insights and recommendations to aid in diagnosis and treatment planning.
  1. Patient interaction: Some AI systems can directly interact with patients through chatbots or virtual assistants, offering health advice and virtual triage services.

Key benefits of AI-powered diagnosis in telehealth

Incorporating AI into telehealth diagnosis offers several advantages:

  • Faster diagnoses: By automating certain aspects of the diagnostic process, AI can help healthcare providers reach conclusions more rapidly.
  • Cost-effectiveness: Telehealth can be cost-effective for both healthcare providers and patients. It reduces overhead costs for healthcare facilities, and lowers patient expenses related to transportation and time off work.

  • Increased accessibility: AI-powered telehealth services can extend quality healthcare to underserved areas where specialist expertise may be limited.
  • Consistency: AI systems can provide consistent analysis and recommendations, promoting similar diagnoses from different healthcare providers.

Hah & Goldin (2022) looked at how doctors use different types of patient information, especially in telehealth settings, to see where AI could help doctors manage complex patient information. As telehealth grows, doctors need to be able to make diagnoses using digital information. However, the increasing amount of patient data from mobile devices can be overwhelming for doctors.

They recommend that AI developers understand how doctors process information to create better AI tools. They also suggest that doctors should receive training in managing multimedia information as part of their education.

The Patient Experience with AI-Driven Telehealth

Now that we understand AI’s role in telehealth, it’s important to consider how these advances affect patients directly.

Hand holding phone with AI health chatbot conversation

Appointment and medication reminders

AI–powered chatbots and virtual assistants can help patients schedule and remember their doctor appointments. They can also remind patients when to take their medicines or other intermittent care they otherwise may forget.

User-friendly interfaces for remote consultations

AI is helping to create more intuitive and user-friendly interfaces for telehealth platforms. These interfaces often include:

  • Chatbots for initial patient intake and triage

  • Voice-activated assistants for hands-free interaction

  • Simplified data input methods for patients to report symptoms

Research has shown that well-designed AI interfaces can improve patient engagement and satisfaction with telehealth services.

Personalized care recommendations

AI systems can analyze individual patient data to provide personalized care recommendations. This may include:

  • Tailored treatment plans based on a patient’s medical history and genetic profile

  • Personalized medication dosage recommendations

  • Lifestyle and diet suggestions based on a patient’s specific health conditions

AI health coaching can significantly improve outcomes for patients with chronic conditions.

24/7 availability of AI-powered diagnostic tools

One of the key advantages of AI in telehealth is its ability to provide round-the-clock access to diagnostic tools. This includes:

  • Symptom checkers that patients can use at any time

  • Automated triage systems to direct patients to appropriate care levels

  • Continuous monitoring of patient data from wearable devices

Research proves that AI health services available 24/7 help treat problems earlier, particularly for patients chronic conditions that require timely treatment.

Current AI Technologies in Telehealth Diagnosis

Now that we understand how AI in telehealth improves patient engagement, let’s look at the specific technologies making this possible.

Machine learning algorithms for symptom analysis

Machine learning (ML), a subset of AI, is playing a crucial role in telehealth diagnosis through symptom analysis. These algorithms can:

  • Process patient-reported symptoms and medical histories

  • Compare symptoms against vast databases of medical knowledge

  • Suggest potential diagnoses or areas for further investigation

For example, a study published in Nature Medicine showed that an ML model can accurately diagnose common childhood diseases based on symptoms and patient history (Liang et al., 2019).

As of Fall 2023, the Food and Drug Administration (FDA) approved 692 AI or ML medical devices (531 in radiology, 71 in cardiology and 20 in neurology).

Computer vision in dermatological assessments

Tele-dermatology is another application where AI can help with remote diagnosis. Computer vision (CV) technology is making significant strides in dermatological diagnoses through telehealth. Here’s how it works:

  1. Patients upload images of skin conditions through a telehealth platform.

  2. AI-powered computer vision analyzes the images, considering factors like color, texture, and shape.

  3. The system compares the images against a database of known skin conditions.

  4. Healthcare providers receive an analysis to aid in their diagnosis.

Some AI systems can match or even exceed dermatologists in accurately identifying skin cancers from images (Esteva et al., 2017).

For example, AI can be as accurate as experienced dermatologists when diagnosing skin cancers like melanoma. The AI uses complex algorithms to analyze images of skin lesions and identify potential cancers, and shows potential to improve cancer screening in other areas like breast and cervical cancer (Kuziemsky et al., 2019).

Natural language processing for patient communication

Doctor on mobile app

Natural language processing (NLP) is enhancing patient-provider communication in telehealth settings. NLP technologies can:

  • Interpret and analyze patient descriptions of symptoms

  • Generate summaries of patient-provider conversations for medical records

  • Translate medical jargon into patient-friendly language

Improving Diagnostic Accuracy with AI

AI technologies contribute to a crucial goal in healthcare: making diagnoses more accurate. Here’s how.

AI-assisted pattern recognition in medical imaging

Ultrasound turned slightly

One of the most promising applications of AI in telehealth diagnosis is in medical imaging. AI systems can analyze various types of medical images, including:

  • X-rays

  • MRIs

  • CT scans

  • Ultrasounds

These AI tools are adept at recognizing patterns and anomalies that may be difficult for the human eye to detect. For instance, a study published in Nature found that an AI system can identify breast cancer in mammograms with greater accuracy than expert radiologists (McKinney et al., 2020).

Clinical assessment

In the past, clinicians mainly relied on patient history and physical exams for diagnosis. Today, advanced tools like MRI and CT scans are common, but this has led to less focus on taking patient histories. While these high-tech tests make telehealth easier, they’re expensive and require special equipment (Kuziemsky et al., 2019).

Patient history is still crucial for diagnosis and can be done easily through telehealth without special tools. AI can guide the history-taking process, saving clinicians time, and making telehealth more effective and affordable. AI can even help patients make decisions when a doctor isn’t available, like in emergencies, with the help of a nurse.

Predictive analytics for early disease detection

AI-powered predictive analytics are helping healthcare providers identify potential health issues before they become serious. This technology:

  • Analyzes patient data from various sources, including EHR and wearable devices

  • Identifies patterns that may indicate increased risk for certain conditions

  • Alerts healthcare providers to patients who may benefit from preventive interventions

Reducing human error in remote diagnoses

Doctor giving patient pills

While human expertise remains crucial in healthcare, AI can help reduce errors in remote diagnoses. AI systems can:

  • Double-check diagnoses made by healthcare providers

  • Flag potential inconsistencies or overlooked factors

  • Provide second opinions, especially in complex cases

Managing Data Privacy and Security Risks

I wrote a deep analysis on how healthcare providers can manage data privacy and assuage patient concerns about the security of their information, which I won’t repeat here.

Conclusion

AI enhances telehealth diagnosis by offering improved accuracy, accessibility, and efficiency in remote healthcare. As technology continues to advance, we can expect even more innovative solutions that will bridge the gap between patients and healthcare providers. The future of AI in telehealth diagnosis is bright, promising a world where quality healthcare is just a click away. 

References

Altman, S. & Huffington, A. (2024). AI-Driven Behavior Change Could Transform Health Care. Time. Retrieved from https://time.com/6994739/ai-behavior-change-health-care/

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal; 6(2), 94-98.

Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature; 542(7639), 115-118.

Future of Health: The Emerging Landscape of Augumented Intelligence in Health Care. (2023). American Medical Association (AMA) and Manatt Health. Retrieved from https://www.ama-assn.org/system/files/future-health-augmented-intelligence-health-care.pdf/

Gatlin, Harry. (2024). The Role of AI in Enhancing Telehealth Services. SuperBill. Retrieved from https://www.thesuperbill.com/blog/the-role-of-ai-in-enhancing-telehealth-services/

Hah, H., & Goldin, D. (2022). Moving toward AI-assisted decision-making: Observation on clinicians’ management of multimedia patient information in synchronous and asynchronous telehealth contexts. Health Informatics Journal. doi.org/10.1177_14604582221077049

Horowitz, B. T. (2024). Integrating AI with Virtual Care Solutioins Improves Patient Care and Clinicial Efficiencies. HealthTech. Retrieved from https://healthtechmagazine.net/article/2024/03/Integrating-ai-with-virtual-care-perfcon/

Kuziemsky, C., Maeder, A. J., John, O., Gogia, S. B., Basu, A., Meher, S., & Ito, M. (2019). Role of Artificial Intelligence within the Telehealth Domain: Official 2019 Yearbook Contribution by the members of IMIA Telehealth Working Group. Yearbook of Medical Informatics; 28(1), 35-40. doi.org/10.1055/s-0039-1677897

Liang, H., Tsui, B. Y., Ni, H., Valentim, C. C., Baxter, S. L., Liu, G., … & Xia, H. (2019). Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence. Nature Medicine; 25(3), 433-438.

McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., … & Shetty, S. (2020). International evaluation of an AI system for breast cancer screening. Nature; 577(7788), 89-94.

Nazarov, V. (2024). AI in Telehealth: Revolutionizing Healthcare Delivery to Every Patient’s Home. Tateeda. Retrieved from https://tateeda.com/blog/ai-in-telemedicine-use-cases/

Sun, P. (2022). How AI Helps Physicians Improve Telehealth Patient Care in Real-Time. Arizona Telemedicine Program. Retrieved from https://telemedicine.arizona.edu/blog/how-ai-helps-physicians-improve-telehealth-patient-care-real-time

5 Best Remote Patient Monitoring Systems for Healthcare Providers

5 Best Remote Patient Monitoring Systems for Healthcare Providers

AI Health Tech Med Tech

Remote patient monitoring (RPM) has become an essential tool for healthcare providers, allowing them to track patient health data outside of traditional clinical settings. The use of remote patient monitoring systems for healthcare providers continues to grow, offering benefits such as improved patient outcomes, reduced hospital readmissions, and enhanced chronic disease management.

This article explores the top RPM systems helping healthcare providers deliver more efficient and personalized care. We’ll discuss the key features to look for and provide guidance on implementing these systems in your practice.

Contents

Features to Look for in Top RPM Systems

When evaluating RPM systems, several key features can make a significant difference in their effectiveness and usability. Here are the essential elements to consider.

Real-time data collection and transmission

Hand touches a screen displaying a heartbeat

Collecting and transmitting patient data in real time is crucial for timely interventions and effective care management. Look for systems that offer:

  • Continuous monitoring capabilities

  • Minimal latency in data transmission

  • Automatic data syncing between devices and the central platform

User-friendly interfaces for both patients and providers

Ease of use is paramount for both patients and healthcare providers. A good RPM system should have:

  • Intuitive mobile apps for patients

  • Clear, easy-to-read dashboards for providers

  • Customizable views and reports

Integration with existing electronic health record systems

Seamless integration with your current electronic health record (EHR) system can streamline workflows and improve data consistency. Consider systems that offer:

  • Bi-directional data flow between the RPM platform and EHR

  • Single sign-on capabilities

  • Automated data entry to reduce manual work

Data security and HIPAA compliance

Protecting patient data is non-negotiable. Ensure the RPM system you choose has:

  • End-to-end encryption for data transmission and storage

  • Multi-factor authentication for user access

  • Regular security audits and updates

Customizable alerts and notifications

Heart illustration for ECG monitor

Timely alerts can help providers intervene before a patient’s condition worsens. Look for systems with:

  • Configurable alert thresholds

  • Multiple notification methods (e.g., SMS, email, in-app notifications)

  • Escalation protocols for critical alerts

Top Remote Patient Monitoring Systems for Healthcare Providers

Now that we’ve covered the essential features, let’s dive into some of the top RPM systems available to healthcare providers in 2024.

1. HealthSnap

Healthsnap RPM system

HealthSnap is a comprehensive Virtual Care Management Platform facilitating integrated, continuous remote patient care with chronic care management (CCM). The system is designed to improve health outcomes for patients with chronic conditions.

Key Features:

  • Cellular-enabled, pre-configured health devices

  • Automated data transmission

  • Integrated platform for monitoring and managing chronic diseases
ProsCons
Easy setup with no Wi-Fi requiredMay have higher upfront costs
Proven to improve patient outcomesLimited to specific chronic conditions
Transparent performance metrics

Use case 

A primary care practice uses HealthSnap to monitor patients with hypertension, diabetes, and obesity. The cellular-enabled devices allow for easy adoption among elderly patients who may not have reliable internet access.

To learn more, visit:

2. Optimize Health

Optimize Health RPM system

Optimize Health offers a comprehensive RPM solution that focuses on improving patient outcomes with CCM, while maximizing reimbursements for healthcare providers.

Key Features:

  • Customizable RPM programs

  • Integrated billing and reimbursement support

  • Patient engagement tools
ProsCons
Flexible program optionsMay require more setup time
Strong focus on ROILearning curve for customization
Robust patient engagement

Use case

A cardiology practice implements Optimize Health to monitor patients with heart failure, resulting in reduced hospital readmissions and improved medication adherence.

To learn more, visit:

3. Athelas

Athelas Home RPM system

Athelas provides an AI-powered RPM system with a focus on simplicity and preventative care. Their at-home blood diagnostics device is designed to identify health concerns early, potentially reducing the need for hospitalizations.

Key Features:

  • SIM-connected devices for easy setup

  • Nurse-monitored health readings

  • Preventative approach to patient care
ProsCons
Simple device setupLimited device options
Professional monitoringMay have ongoing monitoring costs
Early intervention focus

Use case

A rural health clinic uses Athelas to monitor patients with multiple chronic conditions, leveraging the nurse-monitored system to extend their care team’s capabilities.

To learn more, visit:

4. Health Recovery Solutions 

Health Recovery Solutions RPM system

Health Recovery Solutions (HRS) offers a clinically-focused RPM platform designed to improve patient satisfaction, reduce hospital readmissions, and optimize clinical workflows.

Key Features:

  • Comprehensive suite of RPM solutions

  • Electronic medical records (EMR) integration

  • 24/7 customer and tech support
ProsCons
Proven results over 10 yearsMay be more complex for smaller practices
Customizable solutionsHigher-end pricing
Strong support system

Use case 

A large health system implements HRS across multiple specialties, using the platform’s customization options to tailor the RPM program for each department’s needs.

To learn more, visit:

5. Accuhealth

Accuhealth RPM system

Accuhealth provides a user-friendly RPM platform that emphasizes ease of use for both patients and providers.

Key Features:

  • Intuitive patient and provider interfaces

  • AI-powered risk stratification

  • Integrated telehealth capabilities
ProsCons
Easy to use for all agesMay have fewer advanced features
AI-enhanced patient monitoringLimited customization options
Built-in telehealth

Use case 

A family medicine practice adopts Accuhealth to monitor patients with diabetes, using the integrated telehealth feature for quick follow-ups when blood glucose levels are out of range.

To learn more, visit:

Implementing RPM in Your Healthcare Practice

Implementing an RPM system in your practice requires careful planning and execution. Here are some key steps and considerations.

nurse and doctor pointing at computer

How to choose the right RPM system

Follow these steps to choose the right RPM system for your healthcare practice.

  1. Assess your practice’s needs and goals.

  2. Evaluate potential systems based on their key features.

  3. Request demos from top contenders.

  4. Consider scalability and future needs.

  5. Review pricing models and ROI potential.

Train staff and patients on using the system

Healthcare staff and patients must understand how to use their RPM systems correctly. Steps to take include:

  • Develop a comprehensive training program for your staff.

  • Create easy-to-follow guides for patients.

  • Offer ongoing support and refresher training.

  • Consider designating RPM champions within your practice.

Overcoming common implementation challenges

Best practices for successful RPM adoption

  • Start with a pilot program and gradually expand.

  • Regularly collect and act on feedback from staff and patients.

  • Monitor key performance indicators to measure success.

  • Stay up-to-date with RPM technology advancements and regulations.

By carefully considering these factors and following best practices, you can successfully implement an RPM system that enhances patient care and improves your practice’s efficiency.

Conclusion

Remote patient monitoring systems are rapidly becoming essential tools for healthcare providers seeking to improve patient outcomes and streamline operations. 

By choosing the right RPM solution, you can enhance the quality of care, reduce hospital readmissions, and empower patients to take an active role in managing their health. Take the first step towards a more connected and efficient practice by exploring the top RPM systems available today.

How to Choose the Best Remote Patient Monitoring Devices 

How to Choose the Best Remote Patient Monitoring Devices 

AI Health Tech Med Tech

Remote patient monitoring (RPM) has become a cornerstone of modern healthcare, as the global RPM systems market is projected to be worth over $1.7 billion by 2027. As healthcare providers and patients navigate this growing market, it’s crucial to choose the best remote patient monitoring devices.

This guide will walk you through the key factors to consider when selecting RPM devices, so you can make informed decisions that benefit patients and healthcare teams.

Contents

RPM Basics

The basics of RPM describes the:

  • Definition of remote patient monitoring

  • Benefits for patients and healthcare providers

  • Types of health conditions suitable for RPM

Comparing Different RPM Device Types

RPM devices come in various forms, each with its own strengths and limitations. Let’s explore the main types.

Wearable devices

Elderly hands on smartwatch

Wearable devices like smartwatches and patches offer continuous monitoring with minimal disruption to the patient’s daily life. They’re useful for tracking metrics like heart rate, activity levels, and sleep patterns.

Example: The Apple Watch Series can monitor blood oxygen levels, a feature especially useful for patients with respiratory conditions.

Home-based monitoring systems

These devices are designed for periodic measurements at home. They’re typically used for monitoring vital signs like blood pressure, weight, and blood glucose levels.

For instance, smart scales measure weight and body composition, and some can even detect subtle changes that might indicate fluid retention—a potential sign of heart failure.

Implantable devices

implantable cardioverter-defibrillator

For certain conditions, implantable devices offer the most comprehensive and continuous monitoring. These are typically used for serious cardiac conditions.

Modern implantable cardioverter-defibrillators (ICDs) can monitor heart rhythm continuously and transmit data to healthcare providers, allowing for early detection of potentially life-threatening arrhythmias (Sahu et al., 2023).

Assessing Patient Needs and Preferences

Choosing the right RPM device isn’t just about the technology—it’s about finding a solution that fits the patient’s lifestyle and capabilities.

Consider the patient’s age and tech-savviness

Older man with white hair using tablet

Not all patients are equally comfortable with technology. When selecting an RPM device, consider the patient’s familiarity with digital devices.

For older adults or those less comfortable with technology, look for devices with simple, straightforward interfaces. Some blood pressure monitors, for instance, require just a single button press to take a reading and automatically sync data to a smartphone app.

Evaluate mobility and dexterity requirements

Some patients may have physical limitations that make certain devices harder to use. Consider devices that are easy to handle and don’t require complex movements.

For example, wrist-worn blood pressure monitors can be easier for patients with arthritis to use compared to traditional upper arm cuffs.

Address privacy and security concerns

Many patients are concerned about the privacy and security of their health data. Look for devices and systems that prioritize data protection.

Ensure that the RPM system you choose complies with HIPAA regulations and uses strong encryption methods to protect patient data during transmission and storage.

Key Features to Look for in RPM Devices

When evaluating RPM devices, it’s crucial to focus on several key features that can make or break your experience. 

Data accuracy and reliability

Black woman gold top showing phone with glucose meter on arm

The cornerstone of any effective RPM system is its ability to provide accurate and reliable data. After all, what good is a monitoring device if you can’t trust the information it provides?

Look for devices that have been clinically validated and FDA-approved. These certifications ensure that the device has undergone rigorous testing and meets high standards for accuracy. 

Example: The Dexcom G7 continuous glucose monitor has been shown to have a mean absolute relative difference (MARD) of 8.2%, indicating high accuracy in measuring blood glucose levels.

Ease of use for patients

The success of an RPM program depends in part on patient adherence. If a device is too complicated or cumbersome to use, patients are less likely to use it.

Consider devices with intuitive interfaces and clear instructions. For instance, some blood pressure monitors feature large, easy-to-read displays and one-touch operation, making them ideal for older adults or those with limited dexterity.

Battery life and power options

Nothing’s more frustrating than a device that constantly needs charging or battery replacement. Look for devices with long battery life or convenient charging options.

Some wearable devices, like certain fitness trackers, can last up to a week on a single charge. Others, like certain blood glucose monitors, use replaceable batteries that can last for months.

Connectivity options (Bluetooth, Wi-Fi, cellular)

WiFi signal over city buildings

Consider how the RPM device transmits data. Different connectivity options offer various benefits:

  • Bluetooth: Ideal for short-range communication with smartphones or tablets.

  • Wi-Fi: Allows for direct data transmission to the cloud when in range of a network.

  • Cellular: Offers the most flexibility, allowing data transmission from anywhere with cellular coverage.

For example, some modern pacemakers can transmit data via cellular networks, allowing for continuous monitoring without the need for a separate transmitter.

Compatibility with Existing Healthcare Systems

RPM systems should fit into existing workflows seamlessly. Here’s what to look for.

Integration with electronic health records (EHR)

worker looking at 3 monitors on desk

An RPM system that integrates with your EHR can streamline data management and improve efficiency. Look for systems that offer API integration or direct data transfer to your EHR system.

For instance, some RPM platforms can automatically populate patient data into EHR systems like Epic or Cerner, saving time and reducing the risk of data entry errors.

Data transmission and storage capabilities

Consider how the RPM system handles data transmission and storage. Look for systems that offer:

  • Real-time data transmission

  • Secure cloud storage

  • Custom alerts based on patient data

Some advanced RPM systems use AI algorithms to analyze patient data and predict potential health issues before they become serious.

Compliance with HIPAA and other regulations

Ensuring compliance with healthcare regulations is non-negotiable. Choose RPM systems that are designed with HIPAA compliance in mind.

Look for features like:

  • End-to-end encryption

  • Secure user authentication

  • Audit trails for data access

Remember, HIPAA compliance isn’t just about the technology—it also involves proper training and protocols for staff using the RPM system.

Evaluating Cost and Insurance Coverage

While the benefits of RPM are clear, cost considerations are important for both healthcare providers and patients. 

Initial device costs

The upfront cost of RPM devices can vary widely. Simple devices like blood pressure monitors may cost less than $100, while more advanced systems can run thousands of dollars.

Consider the long-term value rather than just the initial cost. A more expensive device that offers better accuracy and reliability could be more cost-effective in the long run.

Subscriptions and service fees

Calculator

Many RPM systems involve ongoing fees for data storage, analysis, and support. These costs can add up over time, so it’s important to factor them into your decision.

Some providers offer all-inclusive packages that cover the device, data transmission, and analysis for a fixed monthly fee. This can make budgeting more predictable.

Reimbursement options and insurance coverage

The good news is that many insurance plans cover RPM services, including Medicare. However, coverage can vary depending on the specific device and condition being monitored.

Medicare reimburses for RPM services under CPT codes 99453, 99454, 99457, and 99458. Use these codes to cover device setup, data transmission, and time spent on RPM-related care for your Medicare patients.

Assessing Vendor Support and Reliability

The relationship with your RPM vendor doesn’t end when you purchase the system. Ongoing support is crucial for the success of your RPM program. Here’s what to look for.

Customer service and technical support

Customer service reps

Look for vendors that offer comprehensive support, including:

  • 24/7 technical assistance

  • Multiple support channels (phone, email, chat)

  • Resources for patient education

Some vendors even offer dedicated account managers to help healthcare providers optimize their RPM programs.

Device maintenance and updates

RPM technology is constantly evolving. Choose a vendor that provides regular software updates and has a clear process for hardware maintenance or replacement.

For example, some vendors offer automatic over-the-air updates for their devices, ensuring they’re always running the latest software.

Training for healthcare providers and patients

Demo of a CPR mask

The success of an RPM program often hinges on proper training. Look for vendors that offer comprehensive training programs for both healthcare providers and patients.

This may include:

  • In-person or virtual training sessions

  • Online resources and tutorials

  • Ongoing education about new features or best practices

Some vendors even offer patient onboarding services to help get your RPM program up and running smoothly.

Conclusion

Choosing the right RPM system or device involves careful consideration of various factors, from technical specifications to patient needs and regulatory compliance. By focusing on these key areas, you can select an RPM solution that enhances patient care, improves outcomes, and integrates seamlessly with your existing healthcare routine.

The goal is to find devices that monitor health effectively and integrate seamlessly into patients’ lives and your healthcare workflows. Take the time to thoroughly evaluate your options, and don’t hesitate to ask vendors for demonstrations or trial periods before making a decision.

With the right RPM system in place, you can provide more personalized care to your patients, no matter where they are. Stay informed about the latest options so you can make the best choices for your patients and practice. 

References

A Comprehensive Guide to Remote Patient Monitoring (RPM). (2023). Prevounce. Retrieved from https://www.prevounce.com/a-comprehensive-guide-to-remote-patient-monitoring

Krupa, A. Senior monitoring systems: How to find the option that’s best for your loved one. Care. Retrieved from https://www.care.com/c/remote-monitoring-for-seniors/

Sahu, P., Acharya, S., & Totade, M. (2023). Evolution of Pacemakers and Implantable Cardioverter Defibrillators (ICDs) in Cardiology. Cureus, 15(10). doi.org/10.7759/cureus.46389

The technology, devices, and benefits of remote patient monitoring in the healthcare industry. (2023). Emarketer. Retrieved from

https://www.emarketer.com/insights/remote-patient-monitoring-industry-explained

Remote Monitoring for Seniors: Ensuring Safety and Independence

Remote Monitoring for Seniors: Ensuring Safety and Independence

AI Health Tech Med Tech

As our population ages, ensuring the safety and well-being of seniors living independently has never been greater. A study by AARP shows that 77% of older adults want to age in place, making remote monitoring technologies more relevant than ever. Remote monitoring for seniors is a powerful tool that can help older adults age in place safely, and give their families and caregivers peace of mind. 

In this article, we’ll discuss the benefits and available technologies for remote monitoring for seniors, and how to implement these systems effectively.

Contents

Understanding Remote Monitoring for Seniors

Remote monitoring for seniors refers to the use of technology to track an older adult’s health, safety, and well-being from a distance. These systems allow caregivers and healthcare providers to keep an eye on seniors without being physically present, enabling quick responses to emergencies and early detection of potential health issues.

Monitoring dashboard on a desk

What are the types of remote monitoring systems?

There are several types of remote monitoring systems available for seniors:

  • Wearable devices
  • Smart home sensors

  • Video monitoring systems

  • Health tracking devices

  • Personal emergency response systems (PERS)

Each type of system serves different purposes and can be tailored to meet the specific needs of individual seniors.

Key components of an effective remote monitoring setup

An effective remote monitoring setup typically includes:

  1. Sensors or devices to collect data

  2. A central hub or gateway to process and transmit information

  3. A user interface for caregivers to access and interpret data

  4. Alert systems for emergencies or anomalies

  5. Secure data storage and transmission protocols

These components work together to create a comprehensive monitoring solution that can adapt to various care scenarios.

Benefits of Remote Senior Monitoring

Remote monitoring offers numerous advantages for both seniors and their caregivers. Let’s examine some of the key benefits.

Enhanced safety and quick emergency response

ER and urgent care entrance

One of the primary benefits of remote monitoring is improved safety for seniors. These systems can detect falls, unusual inactivity, or other emergencies and automatically alert caregivers or emergency services. 

Researchers in the UAE and the U.K. ran a study where they created a system to detect falls, and to monitor seniors and people with disabilities. The non-intrusive system uses Wi-Fi signals and AI to analyze movement patterns without cameras or wearable devices. Overall, this technology offers a promising way to improve safety and care for vulnerable populations using everyday Wi-Fi signals and smart AI analysis (Al Rajab et al., 2023).

Increased independence for seniors

Remote monitoring allows seniors to maintain their independence while still receiving necessary support. By providing a safety net, these systems give older adults the confidence to continue living in their own homes.

Reduced caregiver stress 

Older man talking to doctor on tablet - Tima Miroshnichenko
Source: Tima Miroshnichenko

For family caregivers, remote monitoring, including mobile health apps, can significantly reduce stress and anxiety (Fuller-Tyszkiewicz et al., 2020). Knowing that they can check on their loved one’s well-being at any time provides invaluable peace of mind

Cost-effectiveness compared to in-person care

Remote monitoring can be a cost-effective alternative to full-time in-person care or assisted living facilities. While initial setup costs may be significant, the long-term savings can be substantial. 

According to a report by Grand View Research, the global remote patient monitoring market is expected to reach $117.1 billion by 2025, driven in part by its cost-effectiveness. It’s expected to register a compound annual growth rate (CAGR) of 18.6% from 2024 to 2030.

Top Remote Monitoring Technologies for Seniors

Let’s explore some of the most popular and effective remote monitoring technologies available for seniors.

Wearable devices and personal emergency response systems (PERS)

Monitor attached to back of a woman's left shoulder

Wearable devices, such as smartwatches or pendants, can track vital signs, detect falls, and allow seniors to call for help with the push of a button. These devices are often waterproof and can be worn 24/7 for continuous protection.

Example: The Apple Watch Series includes fall detection and an ECG app, making it a popular choice for tech-savvy seniors.

Smart home sensors and environmental monitoring

Home video monitoring app

Smart home sensors can be placed throughout a senior’s living space to monitor movement, temperature, and other environmental factors. These sensors can detect unusual patterns that may indicate a problem.

Example: Caregiver Smart Solutions offers a system of small sensors that can be placed around the home to track daily habits and alert caregivers to changes in routine.

Video monitoring and two-way communication systems

Video monitoring systems allow caregivers to visually check in on seniors and communicate with them face-to-face. These systems are especially important for seniors with mobility issues or those who live far from family members.

Example: The GrandCare Systems platform includes video chat capabilities along with other monitoring features.

Health tracking devices and telemedicine integration

Health tracking devices can monitor vital signs, medication adherence, and other health metrics. Many of these devices integrate with telemedicine platforms, allowing healthcare providers to remotely assess a senior’s condition.

Example: The Livongo (by Teladoc Health) remote monitoring system includes a blood glucose meter and blood pressure monitor that automatically shares data with healthcare providers.

Health tracking for seniors in nursing homes

Doctor shows table to senior in blue shirt

A study published in Fusion introduced a new way to predict personal health for older people in nursing care using a model to estimate health conditions without needing special sensors. The method looks at actions in each area and combines information from different sources to make better predictions. It also uses machine learning and other smart techniques to process and combine data. 

This model works better than existing systems for tracking health without extra sensors. It could be used with wearable devices in the future to improve health monitoring for seniors (Mahmood et al., 2023).

Implementing Remote Monitoring: A Step-by-Step Guide

If you’re considering implementing a remote monitoring system for a senior loved one, follow these steps:

  1. Assess individual needs and preferences.

  2. Choose the right technology for your situation.

  3. Set up the system and ensure proper connectivity.

  4. Train seniors and caregivers on system use.

Assess individual needs and preferences

Gentleman taking his blood pressure in white shirt

Start by evaluating the senior’s specific health concerns, living situation, and personal preferences. Consider factors such as:

  • Mobility level

  • Cognitive function

  • Existing health conditions

  • Technology comfort level

  • Privacy concerns

Choose the right technology for your situation

Based on your assessment, research and select the most appropriate monitoring technology. Consider factors like:

  • Ease of use

  • Cost and ongoing fees

  • Integration with existing devices or systems

  • Customer support and reliability

Set up the system and check for proper connectivity

Blueprint and video monitoring equipment

Once you’ve chosen a system, follow these steps for setup:

  1. Install any necessary hardware or sensors.

  2. Set up the central hub or gateway.

  3. Test connectivity and ensure all components are communicating properly.

  4. Configure alert settings and user preferences.

Train seniors and caregivers 

Proper training is crucial for the success of any remote monitoring system. Be sure to:

  • Provide clear, step-by-step instructions for both seniors and caregivers.

  • Offer hands-on practice with the devices or interface.

  • Address any concerns or questions about the system.

  • Schedule follow-up training sessions as needed.

Addressing Privacy and Ethical Concerns

While remote monitoring offers many benefits, it’s essential to address privacy and ethical concerns.

security guard - credit card - shield

Balance safety with personal privacy

Striking the right balance between safety and privacy is crucial. Consider these tips:

  • Involve the senior in decisions about monitoring.

  • Use the least invasive monitoring methods that meet safety needs.

  • Establish clear boundaries for when and how monitoring will be used.

Ensure data security and protection

Protecting sensitive health data is paramount. Look for systems that offer:

  • End-to-end encryption

  • Secure cloud storage

  • Regular security updates

  • Compliance with healthcare privacy regulations (like HIPAA)

Always obtain informed consent from the senior before implementing any monitoring system:

  • Explain the purpose and functionality of the system

  • Discuss potential benefits and risks

  • Address any concerns or questions

  • Respect the senior’s right to refuse or limit monitoring

The field of remote senior monitoring is rapidly evolving. 

AI and predictive analytics

AI-powered systems can analyze data from multiple sources to predict potential health issues before they become serious. For example, researchers at the University of Missouri developed a system that uses AI to detect early signs of illness in seniors based on changes in their daily routines.

Integration with smart home ecosystems

Smart home app on tablet red gold

As smart home technology becomes more prevalent, remote monitoring systems are getting easier to integrate with these ecosystems. This allows more comprehensive monitoring and easier control of the home environment.

Advancements in non-invasive health monitoring

New technologies allow us to monitor health metrics without the need for wearable devices or invasive procedures. For instance, researchers at MIT developed a wireless device that can monitor sleep patterns and detect abnormalities without any physical contact.

Conclusion

Remote monitoring for seniors is a rapidly growing field that offers significant benefits for both older adults and their caregivers. By enhancing safety, promoting independence, and providing peace of mind, these technologies are helping seniors age in place with dignity and confidence. 

Before you choose a remote monitoring system, remember to carefully assess individual needs, involve your senior family members in the decision-making process, choose appropriate technology, and address privacy concerns. 

With the right approach, remote monitoring can be a valuable tool to support our elderly loved ones with the care they need while respecting their autonomy. 

References

Al-Rajab, M., Al Zraiqat, S., John, K., El Ayoubi, M. B., & Qassem, M. O. (2023). A Contactless Smart WiFi-Based Application Presence or Fall Detection System: Analyzing Channel State Information (CSI) Signals. International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence; 2(1). doi.org/10.54938/ijemdcsai.2023.02.1.230

Binette, J. & Fanni, F. (2021). 2021 Home and Community Preference Survey: A National Survey of Adults Age 18-Plus. Washington, DC: AARP Research. doi.org/10.26419/res.00479.001

Diabetes made easier at no cost to you. (n.d.). Livongo. Retrieved from https://www.livongo.com/diabetes

Fuller-Tyszkiewicz, M., Richardson, B., Little, K., Teague, S., Hartley-Clark, L., Capic, T., Khor, S., Cummins, R. A., Olsson, C. A., & Hutchinson, D. (2020). Efficacy of a Smartphone App Intervention for Reducing Caregiver Stress: Randomized Controlled Trial. Journal of Medical Internet Research Mental Health; 7(7). doi.org/10.2196/17541

Grand View Research. (2024). Remote Patient Monitoring Market Size, Share & Trends Analysis Report By Product (Vital Sign Monitor, Specialized Monitor), By End-use (Hospital Based Patient, Ambulatory Patient), By Application, By Region, And Segment Forecasts, 2024 – 2030. Retrieved from https://www.grandviewresearch.com/industry-analysis/remote-patient-monitoring-devices-market

Ham, B. (2020). Wireless device captures sleep data without using cameras or body sensors. MIT News. Retrieved from https://news.mit.edu/2020/monitoring-sleep-sensors-0911

Herd, R. (2024). Technology Tips for Caregivers: How to Use Monitoring Systems for Peace of Mind. Caregiver Smart Solutions. Retrieved from https://www.caregiversmartsolutions.com/post/technology-tips-for-caregivers-how-to-use-monitoring-systems-for-peace-of-mind

How GrandCare Works. (n.d.). GrandCare Systems. Retrieved from https://www.grandcare.com/how-it-works/

Ianzito, C. (2020). Remote Monitoring Systems Can Give Caregivers Peace of Mind. AARP. Retrieved from https://www.aarp.org/caregiving/home-care/info-2020/ces-caregiving-products.html

Mahmood, H., Faleh, H., Khalid, R., & Al-Kikani, S. (2023). Physical Activity Monitoring for Older Adults through IoT and Wearable Devices: Leveraging Data Fusion Techniques. Fusion: Practice and Applications; 11(2), pp. 48-61. doi.org/10.54216/FPA.110204

Rice, S. (2016). Sensor Systems Identify Senior Citizens at Risk of Falling Within Three Weeks. University of Missouri. Retrieved from https://www.eldertech.missouri.edu/sensor-systems-identify-senior-citizens-at-risk-of-falling-within-three-weeks/

Remote Patient Monitoring: Improving Chronic Disease Management 

Remote Patient Monitoring: Improving Chronic Disease Management 

AI Health Tech Med Tech

Chronic diseases affect millions worldwide, placing a significant burden on healthcare systems. The World Health Organization reports that chronic diseases account for 74% of all deaths globally. One of the most promising methods of chronic disease management is remote patient monitoring (RPM). Let’s explore how RPM helps people with chronic disease have a better quality of life.

Contents

What is Remote Patient Monitoring?

RPM is a healthcare delivery method that uses technology to collect patient data outside of traditional healthcare settings. But what exactly does this mean for patients and healthcare providers?

Definition of remote patient monitoring

RPM involves using digital technologies to gather and transmit health data from patients to healthcare providers. This allows for continuous monitoring of a patient’s health status without the need for frequent in-person visits.

Key components of RPM systems

ECG monitor closeup on stomach

A typical RPM system consists of several essential components:

  1. Sensing devices: These collect patient data such as blood pressure, heart rate, or blood glucose levels.

  2. Data transmission: The collected data is sent securely to healthcare providers.

  3. Data analysis: Healthcare professionals review and interpret the data.

  4. Patient interface: Patients can view their data and receive feedback through apps or web portals.

  5. Alert systems: Automated alerts notify healthcare providers of any concerning changes in a patient’s condition (Peyroteo et al., 2021).

Types of data collected through RPM

RPM systems can collect various kinds of health data, including:

This comprehensive data collection allows healthcare providers to gain a more complete picture of a patient’s health over time.

Common Chronic Diseases Managed with RPM

RPM is effective in managing many kinds of chronic conditions. Let’s look at some of the most common diseases that benefit from RPM.

Heart disease, CHF, and hypertension

RPM plays a crucial role in cardiovascular disease management, including heart disease, chronic heart failure (CHF), and hypertension (Zhang, et al., 2023). 

Patients can regularly monitor their blood pressure, heart rate, and other vital signs at home. This continuous monitoring helps healthcare providers to adjust medications and interventions as needed, which may prevent heart attacks and strokes.

Diabetes

Woman sticking herself with insulin needle

For patients with diabetes, RPM can be a game-changer. Continuous glucose monitoring systems allow for real-time tracking of blood sugar levels, helping patients and healthcare providers make informed decisions about insulin dosing and lifestyle changes. Studies have shown that RPM can lead to significant improvements in HbA1c levels, a key indicator of long-term blood sugar control.

Chronic kidney disease (CKD)

Woman on dialysis machine

RPM is becoming increasingly important in kidney care by using technology to support patients who need renal replacement therapy (RRT). 

RPM can improve patient outcomes, reduce hospital stays, and enhance treatment adherence. It also saves time and money for both patients and healthcare providers. A care plan for chronic kidney disease that includes RPM can help with patient education, CKD self-management, and home dialysis care. They can increase patient independence and improve their quality of life (Mata-Lima, 2024).

Asthma

Boy in bed using inhaler

For asthma patients, RPM can help track symptoms, medication use, and lung function. This information allows healthcare providers to adjust treatment plans and identify triggers, leading to better asthma control. A review of RPM interventions for asthma found improvements in quality of life and reductions in emergency department visits.

Chronic obstructive pulmonary disease (COPD)

COPD patients can benefit greatly from RPM. When health providers monitor oxygen levels, lung function, and symptoms, they can detect exacerbations early and intervene before hospitalization becomes necessary.

 

Anemia

Anemia, a condition characterized by a deficiency of red blood cells or hemoglobin, affects millions worldwide. It can lead to fatigue, weakness, and other health complications. RPM can helps manage anemia in many ways:

  • Early Detection: RPM can help detect anemia-related complications early by collecting data on patients’ blood oxygen levels and other indicators. This allows for timely interventions, reducing the risk of severe health issues.

Now let’s look at specific benefits of using RPM to manage chronic conditions.

Benefits of RPM for Chronic Disease Management

Implementing RPM in chronic disease management has several advantages for both patients and healthcare systems. 

Early detection of health issues

One of the most significant advantages of RPM is its ability to detect potential health issues early. By continuously monitoring patient data, healthcare providers can identify concerning trends or sudden changes before they become serious problems. This proactive approach can lead to timely interventions and prevent complications (Peyroteo et al., 2021).

Improved medication adherence

Medication adherence is crucial for managing chronic diseases effectively. RPM systems often include medication reminders and tracking features, which can significantly improve adherence rates. A review of multiple studies found that RPM interventions increased medication adherence by an average of 22%.

Better patient engagement and self-management

Man taking pulse oximeter reading

RPM empowers patients to take an active role in managing their health. A real-world use study reported RPM helps better adherence to CHF treatment regimens (Patrick et al., 2023). And RPM adherence is associated with better patient outcomes (Sabatier et al., 2022).

By providing real-time feedback and educational resources, these systems help patients better understand their conditions and make informed decisions about their care. This increased engagement can lead to improved health outcomes and quality of life for those living with chronic diseases (Peyroteo et al., 2021).

Reduced hospital readmissions

ER and urgent care entrance

RPM has shown promising results in reducing hospital readmissions for patients with chronic conditions. 

A study published in the Journal of Medical Internet Research found that RPM reduced 30-day hospital readmissions by 76% for patients with heart failure (Bashi et al., 2017). And another study showed a reduction in hospitalizations in chronic obstructive pulmonary disease (COPD) patients using RPM (Polsky et al., 2023).

Fewer trips back to the hospital improves patient outcomes and helps reduce healthcare costs.

Cost savings and effectiveness

Noninvasive RPM can be cost-effective compared to traditional methods for managing chronic disease (De Guzman et al., 2022).

RPM requires an initial investment in equipment and training. But over the long run, it can reduce healthcare costs long-term by preventing expensive health events like hospital readmissions, although those savings may take time to manifest. Technology advances may lower costs over time.

The level of cost-effectiveness also varies by disease and context. Studies on hypertension, COPD, and heart failure show the highest benefits for hypertension. Effectiveness depends on patient targeting and integration into existing healthcare systems. Local factors and clinical settings influence RPM’s cost-effectiveness, which emphasizes the need for tailored implementation plans.

RPM Technologies and Devices

The success of remote patient monitoring relies heavily on the technologies and devices used to collect and transmit patient data. Let’s explore some of the key tools in the RPM arsenal.

Wearable devices and sensors

Black woman smiling at phone with glucose meter on arm

Wearable technology has come a long way in recent years. These devices can now track a wide range of health metrics, including:

Many of these devices are designed to be comfortable and discreet, allowing for continuous monitoring without disrupting daily life.

Mobile health apps

Mobile health apps serve as the interface between patients and their health data. These apps often provide:

  • Data visualization and trends

  • Medication reminders

  • Educational resources

  • Communication tools for connecting with healthcare providers

The user-friendly nature of these apps makes it easier for patients to stay engaged with their health management.

Home-based monitoring equipment

Black man using his blood pressure monitor at home

For more specialized monitoring, home-based equipment can provide detailed health information. This may include:

These devices are designed to be easy to use, allowing patients to take accurate measurements at home.

Data transmission and analysis platforms

The backbone of any RPM system is the platform that receives, stores, and analyzes patient data. These platforms use secure cloud-based systems to:

  • Aggregate data from multiple sources

  • Apply algorithms to detect patterns and anomalies

  • Generate alerts for healthcare providers

  • Provide detailed reports for clinical decision-making

How to Implement RPM in a Healthcare Setting

While the benefits of RPM are clear, implementing these systems in healthcare settings can be challenging. Here are some key considerations for successful RPM implementation.

Choose the right RPM solution

Selecting an appropriate RPM solution is crucial for success. Healthcare providers should consider:

  • The specific needs of their patient population

  • Integration capabilities with existing electronic health record systems

  • User-friendliness for both patients and healthcare staff

  • Scalability to accommodate future growth

It’s important to evaluate multiple options and pilot test solutions before full implementation.

Train healthcare providers and patients

Nurse going over a chart with patient

Proper training is essential for both healthcare providers and patients to ensure effective use of RPM systems. This may include:

  • Hands-on training sessions for healthcare staff

  • Patient education materials and support resources

  • Ongoing technical support for troubleshooting issues

Investing in comprehensive training can significantly improve adoption rates and overall success of RPM programs.

Integrate RPM with existing health IT systems

Seamless integration with existing health information technology systems is crucial for success with RPM, which allows for:

  • Automatic data transfer to electronic health records

  • Streamlined workflow for healthcare providers

  • Comprehensive patient health profiles

A smooth integration takes a collaborative effort between IT teams, RPM vendors, and healthcare staff.

Address privacy and security concerns

As with any system handling sensitive health information, privacy and security are paramount in RPM. Healthcare organizations must:

  • Implement robust data encryption measures

  • Ensure compliance with HIPAA and other relevant regulations

  • Regularly audit and update security protocols

  • Educate patients on best practices for protecting their health data

Overcoming Challenges in RPM Adoption

While RPM offers numerous benefits, there are several challenges that healthcare organizations must address for successful adoption.

Man holding Medicare card

Reimbursement and insurance coverage

One of the primary barriers to RPM adoption has been uncertainty around reimbursement. However, recent changes in healthcare policies have improved the situation:

  • Medicare now provides reimbursement for certain RPM services

  • Many private insurers are following suit because they understand the cost-saving potential of RPM

Healthcare providers should stay informed about evolving reimbursement policies and advocate for expanded coverage.

Patient compliance and technology acceptance

Glucose meter on hand with a blood drop

For RPM to be effective, patients must consistently use the provided monitoring devices and follow recommended protocols. Strategies to improve compliance include:

  • Selecting user-friendly devices and apps

  • Providing ongoing patient education and support

  • Using motivational techniques, such as gamification or reward programs

  • Tailoring RPM programs to individual patient needs and preferences

Data management and interpretation

The large volume of data generated by RPM systems can be overwhelming for healthcare providers. To address this challenge:

  • Implement robust data analytics tools to identify meaningful trends and anomalies

  • Provide training for healthcare staff on data interpretation

  • Develop clear protocols for responding to alerts and abnormal readings

  • Consider incorporating artificial intelligence to assist with data analysis

As RPM technology evolves, regulatory frameworks are struggling to keep pace. Healthcare organizations must navigate:

  • Evolving FDA regulations for medical devices and software

  • State-specific telemedicine laws and licensing requirements

  • International considerations for cross-border remote care

Staying informed about regulatory changes and working with legal experts can help organizations navigate these complex issues.

The Future of RPM in Chronic Disease Management

As technology continues to advance, the future of RPM in chronic disease management looks promising. Here are some exciting developments on the horizon.

Artificial intelligence and machine learning integration

AI and machine learning take RPM to the next level as they can:

Expansion of RPM to new disease areas

While RPM has proven effective for common chronic conditions, we’re likely to see its application expand to other areas, such as:

  • Mental health monitoring

  • Neurological conditions like Parkinson’s disease

  • Post-surgical recovery and rehabilitation

  • Rare diseases that require specialized monitoring

Potential for population health management

People around a globe

RPM data, when aggregated and analyzed at a population level, can provide valuable insights for public health initiatives. This could lead to:

  • More targeted health interventions

  • Improved resource allocation in healthcare systems

  • Better understanding of disease trends and risk factors

  • Enhanced ability to respond to public health crises

Evolving healthcare policies and regulations

As RPM becomes more widespread, we can expect to see:

  • Continued expansion of reimbursement policies

  • Development of standardized guidelines for RPM implementation

  • Increased focus on interoperability standards for health data exchange

  • Greater emphasis on patient data ownership and privacy rights

Conclusion 

RPM offers a proactive approach to chronic disease management that benefits both patients and providers. By enabling continuous, real-time health tracking and timely interventions, RPM can significantly improve patient outcomes, reduce healthcare costs, and enhance the quality of life for those living with chronic conditions.

As technology continues to advance and healthcare systems adapt, the role of RPM in chronic disease management will likely expand, paving the way for more personalized and efficient healthcare delivery. Embracing this innovative approach can lead to a healthier future for millions of people worldwide.

References

Bashi, N., Karunanithi, M., Fatehi, F., Ding, H., & Walters, D. (2017). Remote Monitoring of Patients With Heart Failure: An Overview of Systematic Reviews. Journal of Medical Internet Research; 19(1). doi.org/10.2196/jmir.6571

Centellas-Pérez, F. J., Ortega-Cerrato, A., et al. (2023). Impact of Remote Monitoring on Standardized Outcomes in Nephrology-Peritoneal Dialysis. Clinical Research; 9(2),266-276. doi.org/10.1016/j.ekir.2023.10.034

De Guzman, K. R., Snoswell, C. L., Taylor, M. L., Gray, L. C., & Caffery, L. J. (2022). Economic Evaluations of Remote Patient Monitoring for Chronic Disease: A Systematic Review. Value in Health; 25(6), 897-913. doi.org/10.1016/j.jval.2021.12.001

Fakunle, A. (2022). The Future of Healthcare: How Remote Patient Monitoring Transforms Healthcare. Cleverdev Software. Retrieved from https://www.cleverdevsoftware.com/blog/the-future-of-healthcare

Mata-Lima, A., Paquete, A. R., & Serrano-Olmedo, J. J. (2024). Remote patient monitoring and management in nephrology: A systematic review. Nefrología. doi.org/10.1016/j.nefro.2024.01.005

Noncommunicable diseases. (2023). World Health Orgination (WHO). Retrieved from https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases

Patrick, J., Picard, F., Girerd, N., et al. (2023). Security and performance of remote patient monitoring for chronic heart failure with Satelia® Cardio: first results from real-world use. Journal of Cardiology and Cardiovascular Medicine; 8:042–50. doi:10.29328/journal.jccm.1001152

Peyroteo, M., Ferreira, I. A., Elvas, L. B., Ferreira, J. C., & Lapão, L. V. (2021). Remote Monitoring Systems for Patients With Chronic Diseases in Primary Health Care: Systematic Review. JMIR MHealth and UHealth; 9(12). doi.org/10.2196/28285

Polsky, M., Moraveji, N., Hendricks, A., Teresi, R. K., Murray, R., & Maselli D. J. (2023). Use of Remote Cardiorespiratory Monitoring is Associated with a Reduction in Hospitalizations for Subjects with COPD. International Journal of Chronic Obstructive Pulmonary Disease; 18:219-229. doi.org/10.2147/COPD.S388049

Sabatier, R., Legallois, D., Jodar, M., et al. (2022). Impact of patient engagement in a French telemonitoring programme for heart failure on hospitalization and mortality. ESC Heart Failure; 9(5):2886–2898. doi:10.1002/ehf2.13978

Telehealth Interventions to Improve Chronic Disease. (2024). Centers for Disease Control and Prevention (CDC). Retrieved from https://www.cdc.gov/cardiovascular-resources/php/data-research/telehealth.html

Zhang, Y., Peña, M. T., Fletcher, L. M., Lal, L., Swint, J. M., & Reneker, J. C. (2023). Economic evaluation and costs of remote patient monitoring for cardiovascular disease in the United States: a systematic review. International Journal of Technology Assessment in Health Care;39(1):e25. doi:10.1017/S0266462323000156

5G and Telehealth: Enhancing Healthcare Services and Patient Care

5G and Telehealth: Enhancing Healthcare Services and Patient Care

AI Health Tech Med Tech

As we move into a new era of connectivity, 5G technology is set to make telehealth even better. According to a study by Accenture, over 80% of healthcare executives believe 5G and telehealth will significantly impact the entire healthcare industry within the next three years. 

This article discusses the transformative effects of 5G on telehealth, exploring how this lightning-fast network is improving patient care, expanding access to medical services, and changing the future of healthcare delivery.

Contents

The Basics of 5G and Telehealth

What is 5G technology?

5G, the fifth generation of mobile networks, is a cutting-edge technology designed to enhance wireless communication. It offers significantly faster data speeds, reduced latency, and greater capacity compared to previous versions like 4G. This means that 5G can support a larger number of devices simultaneously, making it ideal for the Internet of Things (IoT) and other data-intensive applications. 

In healthcare, 5G enables seamless connectivity, which is crucial for telehealth services that rely on real-time data transmission and communication.

Overview of telehealth and its current limitations

Telehealth refers to the delivery of healthcare services through digital communication technologies, allowing patients to consult with healthcare providers remotely. 

While telehealth has grown significantly, it still faces several limitations like issues with video and audio quality, limited access in rural areas, and challenges with performing comprehensive physical examinations remotely (Gajarawala & Pelkowski, 2021). The current telehealth infrastructure often struggles with data transmission delays and connectivity issues, which can hinder effective patient care.

How 5G addresses existing telehealth challenges

5G technology addresses many of these challenges by providing faster and more reliable connections. Its low latency ensures that data is transmitted almost instantaneously, which is critical for real-time consultations and remote monitoring. 

With 5G, telehealth services can offer high-definition video and audio quality, making virtual visits more effective and closer to in-person visits. Additionally, 5G’s ability to connect numerous devices simultaneously supports the growing demand for telehealth services and the integration of advanced technologies like AI and IoT in healthcare (Georgiou et al., 2021). 

Enhanced Real-time Communication

Improved video quality for virtual doctor visits

One of the most essential benefits of 5G in telehealth is the improvement in video quality for virtual visits. High-definition video is essential for healthcare providers to accurately assess patients’ conditions remotely. 

With 5G’s enhanced bandwidth, video calls are clearer and more stable, reducing the likelihood of disruptions during virtual visits. This improvement improves the patient experience and allows healthcare providers to make more accurate diagnoses and treatment recommendations.

Low latency for seamless interactions

Latency, or the delay before data transfer begins following an instruction, is a critical factor in telehealth. High latency can lead to frustrating delays and miscommunications during virtual doctor visits. 

5G significantly reduces latency, enabling seamless interactions between patients and healthcare providers. This is particularly important in scenarios where immediate feedback is necessary, such as during remote surgeries or emergency telehealth visits.

Clearer audio for accurate diagnoses

Clear audio is crucial for healthcare providers to understand patients’ symptoms and concerns accurately. 5G enhances audio clarity by providing a more stable and reliable connection. 

This improvement ensures that both patients and providers can communicate effectively, minimizing the risk of misdiagnosis due to poor audio quality. Enhanced audio clarity is especially beneficial in fields like mental health, where verbal communication is a key component of treatment (Georgiou et al., 2021).

Remote Patient Monitoring Advancements

Beyond improving communication, 5G improves the ways doctors keep track of their patients’ health remotely.

Real-time data transmission from wearable devices

Wearable devices have become an integral part of remote patient monitoring (RPM), allowing continuous tracking of vital signs and other health metrics. 

5G technology enhances the capabilities of these devices by enabling real-time data transmission. This means healthcare providers can receive up-to-the-minute information about a patient’s condition, allowing for timely interventions and adjustments to treatment plans.

Continuous monitoring of chronic conditions

Woman on couch with Blood pressure monitor at home

For patients with chronic conditions, continuous monitoring is essential for managing their health effectively. 5G supports the continuous transmission of data from wearable devices, ensuring that healthcare providers have access to comprehensive and accurate information (Devi et al., 2023). 

This capability allows for better management of conditions such as diabetes, heart disease, and hypertension, ultimately improving patient outcomes and reducing hospital admissions.

Early detection and prevention of health issues

The ability to monitor patients in real-time also facilitates the early detection of potential health issues. By analyzing data from wearable devices, healthcare providers can identify patterns or anomalies that may indicate a developing problem. 

Early detection allows time for preventive measures, reducing the risk of complications and improving overall patient health. 5G’s high-speed connectivity ensures that this data is transmitted quickly and reliably, enabling proactive healthcare management.

Enabling Advanced Telehealth Applications

The power of 5G opens up new possibilities for complex medical procedures and training.

Remote surgeries and robotic procedures

Robot reviewing scans on screen

5G technology is paving the way for advanced telehealth applications, including remote surgeries and robotic procedures. With its low latency and high reliability, 5G enables surgeons to perform operations remotely using robotic systems. 

This capability is particularly important in emergencies or areas lacking specialized surgical expertise. Remote surgeries are made possible by 5G’s ability to transmit high-definition video and tactile feedback in real-time to ensure precision and safety (Georgiou et al., 2021).

Augmented and virtual reality in medical training

Augmented reality (AR) and virtual reality (VR) are transforming medical training by providing immersive and interactive learning experiences. 5G supports these technologies by delivering the high-speed and low-latency connections required for seamless AR and VR applications. 

Medical students and professionals can use AR and VR to practice complex procedures, visualize anatomy in 3D, and simulate real-life scenarios, enhancing their skills and knowledge without the need for physical resources.

AI-powered diagnostics and treatment planning

Anantomy scan with goggles stethoscope and notebook

Artificial intelligence (AI) is becoming increasingly important in healthcare for diagnostics and treatment planning. 5G enables the integration of AI technologies into telehealth platforms by providing the necessary bandwidth and speed for processing large datasets. 

AI-powered tools can analyze patient data to identify patterns, predict outcomes, and suggest personalized treatment plans. This integration enhances the accuracy and efficiency of telehealth services, leading to better patient care (Georgiou et al., 2021).

Expanding Access to Healthcare

One of the most important impacts of 5G on telehealth is how it can bring quality healthcare to more people.

Bridges the urban-rural healthcare divide

WiFi signal over city buildings

A significant impact of 5G in telehealth is its potential to bridge the healthcare gap between urban and rural areas. Rural communities often face challenges in accessing quality healthcare due to distance and limited resources. 

5G enables telehealth services to reach these underserved areas by providing reliable and high-speed connectivity (Devi et al., 2023). Patients in rural areas can access virtual doctor visits, remote monitoring, and specialist care without the need to travel long distances.

Improves emergency response times

In emergencies, every second counts. 5G technology can improve emergency response times by enabling connected ambulances and real-time communication between paramedics and hospital staff. 

With 5G, ambulances can transmit patient data (teleambulance services), such as vital signs and medical history, to the hospital en route, allowing for better preparation and faster treatment upon arrival. This capability can greatly improve patient outcomes in critical situations.

Facilitates specialist visits in underserved areas

Mother with sick child on couch and red laptop - pediatric telehealth

Access to specialist care is often limited in underserved areas, leading to delays in diagnosis and treatment. 5G facilitates virtual visits with specialists, allowing patients to receive expert advice and care without the need for travel. 

This capability is particularly beneficial for patients with rare or complex conditions that require specialized knowledge. By enabling virtual visits, 5G helps ensure that all patients have access to the care they need, regardless of their location.

5G Challenges and Considerations

While the benefits of 5G in telehealth are significant, there are also important challenges to consider.

Infrastructure requirements for 5G implementation

While 5G offers numerous benefits for telehealth, its implementation requires hefty infrastructure development. Building the necessary network infrastructure, such as towers and data centers, can be costly and time-consuming (Agrawal et al., 2023). 

Additionally, healthcare facilities need to invest in compatible devices and technologies to fully leverage 5G’s capabilities. These infrastructure requirements can pose challenges, particularly for smaller healthcare providers or those in remote areas (Georgiou et al., 2021).

Data security and privacy concerns

With the increased use of digital technologies in healthcare, data security and privacy have become major concerns. 5G networks must ensure that patient data is transmitted securely and protected from unauthorized access. 

Healthcare providers need to implement robust security measures, such as encryption and authentication protocols, to safeguard sensitive information. Addressing these concerns is crucial for maintaining patient trust and compliance with regulations (Gajarawala & Pelkowski, 2021).

Equitable access to 5G-enabled telehealth services

Ensuring equitable access to 5G-enabled telehealth services is essential for maximizing their benefits. While 5G can improve healthcare access in underserved areas, disparities in technology adoption and infrastructure still exist. 

Efforts must be made to ensure that all communities, regardless of socioeconomic status or location, can access and benefit from 5G telehealth services. This includes addressing affordability, digital literacy, and infrastructure gaps.

Conclusion

From enhancing the quality of virtual doctor visits to enabling groundbreaking remote procedures, 5G with telehealth is a combo that’s set to improve patient outcomes and expand access to vital medical services. 

To make the most of 5G and telehealth, and address the challenges related to telehealth implementation, security, and equity, healthcare providers, patients, and policymakers must work together. The future of healthcare is powered by 5G.

References

Agrawal, V., Agrawal, S., Bomanwar, A., Dubey, T., & Jaiswal, A. (2023). Exploring the Risks, Benefits, Advances, and Challenges in Internet Integration in Medicine With the Advent of 5G Technology: A Comprehensive Review. Cureus; i(11). doi.org/10.7759/cureus.48767

Baldwin, P. (2021). How 5G can transform telemedicine to tackle today’s toughest challenges. Qualcomm. Retrieved from  https://www.qualcomm.com/news/onq/2021/01/how-5g-can-transform-telemedicine-tackle-todays-toughest-challenges

Crews, J. 5G: Bridging or Amplifying the Rural-Urban Divide? Heartland Forward. Retrieved from https://heartlandforward.org/case-study/5g-bridging-or-amplifying-the-rural-urban-divide/

Devi, D. H., Duraisamy, K., Armghan, A., Alsharari, M., Aliqab, K., Sorathiya, V., Das, S., & Rashid, N. (2023). 5G Technology in Healthcare and Wearable Devices: A Review. Sensors (Basel, Switzerland); 23(5). doi.org/10.3390/s23052519

Everything you need to know about 5G. (n.d.). Qualcomm. Retrieved from  https://www.qualcomm.com/5g/what-is-5g

Foo, M. 8 Ways That 5G Benefits Healthcare (n.d.). ABI Research. Retrieved from  https://www.abiresearch.com/blogs/2023/01/03/5G-in-healthcare/

Gajarawala, S. N., & Pelkowski, J. N. (2021). Telehealth Benefits and Barriers. The Journal for Nurse Practitioners; 17(2), 218-221. doi.org/10.1016/j.nurpra.2020.09.013

Georgiou, K. E., Georgiou, E, Satava, R. M. (2021). 5G Use in Healthcare: The Future is Present. Journal of the Society of Laparoscopic & Robotic Surgeons; 25(4):e2021.00064. doi: 10.4293/JSLS.2021.00064

Gillis, M. (2022). More Than 80% of Healthcare Executives Expect the Metaverse Will Have a Positive Impact on Their Organizations, According to a New Accenture Report. Accenture. Retrieved from https://newsroom.accenture.com/news/2022/more-than-80-percent-of-healthcare-executives-expect-the-metaverse-will-have-a-positive-impact-on-their-organizations-according-to-a-new-accenture-report

Lensing, M. (2019). 5G can help deliver better insights into patient health. AT&T Business. Retrieved from https://www.business.att.com/learn/top-voices/5g-can-help-deliver-better-insights-into-patient-health.html

Maheu, M. (2024). See How 5G Technology Can Improve Your Healthcare Service. Telehealth.org. Retrieved from https://telehealth.org/see-how-5g-technology-can-improve-your-healthcare-service/

Seitz, S. (2024). The Impact of 5G on Connected Devices. Sequenex. Retrieved from https://sequenex.com/the-impact-of-5g-on-connected-devices/

Udell, C. (2023). 5G Security Concerns & Privacy Risks. MRL Consulting Group. Retrieved from https://www.mrlcg.com/resources/blog/5g-security-concerns—privacy-risks/

Amwell Telehealth Review: Is It Right for Your Healthcare Needs?

Amwell Telehealth Review: Is It Right for Your Healthcare Needs?

AI Health Tech Med Tech

In an era where digital healthcare is becoming increasingly prevalent, Amwell is a prominent player in the telehealth arena. But how does Amwell stack up against its competitors?

This in-depth Amwell telehealth review will explore the ins and outs of Amwell’s telehealth services, to help you decide if it’s the right choice for your healthcare needs.

Contents

What is Amwell and How Does It Work?

Amwell is a leading telehealth platform that connects patients with healthcare providers digitally. 

You can access their services from virtually anywhere with internet access or their mobile app. From urgent care to behavioral health, Amwell’s platform is designed to cater to various healthcare needs. 

Available medical services 

Screenshots from Amwell app in Apple's app store
Source: Apple App Store

Amwell offers a broad spectrum of medical services, including:

  • Primary Care: General health consultations.

  • Urgent Care: Immediate care for non-emergency conditions.

  • Behavioral Health: Therapy and counseling services.

  • Specialist Appointments: Access to dermatologists, dietitians, and more.

  • Prescriptions: Medication management and prescription refills.

How to schedule and start a virtual doctor visit 

Scheduling an appointment with Amwell is straightforward:

  1. Enroll: Create an account on the Amwell platform.
  2. Choose: Select a doctor based on their experience and ratings.
  3. Visit: Start your video call using secure, high-quality streaming video.

Most doctor visits last about 10 minutes, but you can extend the time if needed. These doctors can review your medical history, diagnose conditions, and prescribe medications if necessary.

Technical requirements

Older man talking to doctor on tablet - Tima Miroshnichenko
Source: Tima Miroshnichenko (Pexels)

To use Amwell, you need:

  • A computer or mobile device.

  • A stable internet connection.

  • The Amwell app or access to the web-based platform.

If you’re unable to use video, you can call for an audio-only (phone) visit as well. However, you may not be able to obtain a new prescription with an audio-only visit, depending on the state where you live.

Amwell’s Features and Benefits

Next, let’s review Amwell’s valuable features and benefits.

24/7 availability for urgent care

One of the standout features of Amwell is its 24/7 availability. You can access urgent care services anytime, even in the middle of the night or on a holiday. 

Range of specialists available

Doctor talking to patient on laptop by Tima Miroshnichenko
Source: Tima Miroshnichenko (Pexels)

You can choose from a variety of specialists at Amwell, including therapists, neurologists, dermatologists, and dietitians. This broad range of services ensures that you can find the right expert for your specific healthcare needs. 

Some examples of conditions Amwell’s urgent care doctors treat include:

  • Acute Bronchitis

                                      
  • Headache

                                   
  • Fever & Flu

                                    
  • Back pain

     
  • UTI   

                                                         
  • Respiratory Infection 

               
  • Sprains and strains   

                                                 
  • Diarrhea    

                                    
  • Exacerbations of chronic disease (asthma, diabetes)


103,000 providers conducted visits via Amwell in 2023.

Prescription services and management

Amwell doctors can prescribe medications and send them directly to your preferred pharmacy. This is particularly helpful to manage ongoing treatments and chronic conditions, and get your necessary medications fast. 

Note: A video visit is required by most states (not an audio-only visit) before Amwell can prescribe medication.

Integration with health insurance plans

Amwell works with several health insurance providers, making it easier for patients to get covered services. They also offer options for uninsured patients. Let’s dig into that a bit more, shall we?

Cost and Insurance Coverage

Understanding costs and insurance coverage is crucial when considering a telehealth service. This section discusses Amwell’s pricing.

Health insurance on paper

Amwell pricing 

The costs you pay for Amwell visits vary by visit type and insurance coverage:

  • Urgent Care: The cost starts at $69, unless your insurance co-pay is lower. 
  • Mental Health: Therapy sessions range from $99 to $110, depending on the therapist’s qualifications. 
  • Psychiatry: The initial visit for a psychiatric consultation is more expensive at $279. Follow-up visits with the same provider are $109 per visit.

Amwell works with many insurance companies, which can lower your costs. Before booking an appointment, check with your insurance provider. If you don’t have insurance, Amwell still offers competitive pricing.

Comparison with traditional in-person visits

Telehealth visits on Amwell are often more affordable than traditional in-person visits. The convenience of not having to travel and the ability to access care at any time makes it even more cost-effective.

Insurance plans accepted by Amwell

Amwell partners with various insurance companies, including Aetna, Blue Cross Blue Shield, UnitedHealthcare, and Anthem. Many insurance plans cover urgent care and mental health (behavioral health) services to reduce out-of-pocket costs. 

Over 100 million members have Amwell as a covered benefit. To confirm insurance coverage and pricing, check with your insurance provider before making an appointment.

For those without insurance, Amwell offers competitive pricing for its services. The platform ensures that everyone can access quality healthcare, regardless of their insurance status.

A user-friendly platform is essential for effective telehealth services. Let’s examine Amwell’s interface next.

User Experience and Interface

An easy-to-use interface* is essential for a telehealth platform, and Amwell fits the bill.

Black woman smiling at phone with glucose meter on arm

Easy account creation and setup

Creating an account on Amwell is quick and straightforward. The platform guides you through the process, and securely stores your information for future visits.

Navigation of the Amwell app and website

Both the Amwell app and website are designed with user experience (UX) in mind. The intuitive layout makes it easy to find doctors, schedule appointments, and access medical records.

Quality of video consultations

Amwell uses high-quality streaming video for consultations, ensuring clear communication between patients and doctors. This feature is crucial for accurate diagnoses and effective treatment plans.

Patient support and resources

Amwell offers robust patient support, including FAQs, live chat, and phone support. These resources help users navigate the platform and resolve any issues they may encounter.

Is it safe to use Amwell services over the internet? How does Amwell ensure patient data is protected? We answer these questions next. 

Privacy and Security Measures

Privacy and security are paramount in telehealth services. Here’s how Amwell addresses privacy and security concerns.

Doctor showing a patient an app in green

HIPAA compliance and data protection

Amwell is fully compliant with the Health Insurance Portability and Accountability Act (HIPAA), which ensures patient information is securely handled and protected.

Secure messaging and file sharing

The platform uses encrypted messaging and secure file-sharing protocols to protect patient data during communication and consultations.

Patient data storage and access policies

Amwell stores patient data securely, and you can access your medical records anytime. This transparency helps build trust and ensures you have control over your health information.

To provide a balanced view, let’s consider the advantages and potential drawbacks of using Amwell.

Pros and Cons of Using Amwell

Understanding patient feedback can provide valuable insights into the effectiveness of a telehealth service. And like any service, Amwell has its advantages and potential drawbacks. 

Amwell has mixed reviews from users. Amwell offers competitive pricing and a wide range of services compared to other telehealth providers. 

While many praise the convenience and quality of care, others expressed dissatisfaction with customer service, appointment scheduling, and reliability. 

Here’s what people who’ve used Amwell had to say about their experience.

Amwell’s advantages

Amwell’s platform includes all the benefits of a telehealth platform

  • Convenience: Access healthcare from anywhere at any time from a user-friendly interface.

  • Range of Services: From urgent care to specialist consultations.

  • Cost-Effective: Often cheaper than in-person visits.

  • Insurance Integration: Works with many insurance providers.

J.D. Power has recognized Amwell for its high customer satisfaction for several years. Amwell ranked No. 1 in the J.D. Power 2020 U.S. Telehealth Satisfaction Study, and only dropped to third place in 2023 behind CVS (1st) and MDLive (2nd).

Potential drawbacks

Based on reviews from those who’ve used Amwell, there are a few issues you may encounter, such as:

Conclusion

Doctor showing something in hands to patient on laptop
Source: Tima Miroshnichenko (Pexels)

Amwell’s telehealth platform provides convenient, accessible, and cost-effective healthcare services. With its wide range of services, 24/7 availability, and integration with many insurance plans, it’s a solid option for those seeking virtual healthcare. However, like any telehealth service, there are areas for improvement. 

Whether you’re looking for urgent care, specialist consultations, or mental health services, Amwell provides a comprehensive solution that could meet your various healthcare needs. Consider your specific healthcare needs, the types of services you require, and your comfort level with virtual consultations when deciding if Amwell is right for you. 

* I offer UX copywriting and content design services.

References

Amwell. (n.d.). Trustpilot. Retrieved from https://www.trustpilot.com/review/amwell.com

Amwell for patients: How it works. (n.d.). Amwell. Retrieved from https://patients.amwell.com/how-it-works

Amwell for patients: Online doctor visits, 24/7. (n.d.). Amwell. Retrieved from https://patients.amwell.com

Amwell Ranked No. 1 in the J.D. Power 2020 U.S. Telehealth Satisfaction Survey. (2020). Amwell. Retrieved from 

https://business.amwell.com/about-us/news/press-releases/2020/amwell-ranked-no-1-in-the-j-d-power-2020-u-s-telehealth-satisfaction-study

Enabling hybrid care at scale. (n.d.). Amwell. Retrieved from https://business.amwell.com/

Mixed reviews for Amwell: Long Wait Times, Appointment Cancellations, and Billing Concerns. (n.d.). Kimola. Retrieved from https://kimola.com/reports/unlock-insights-with-amwell-customer-feedback-analysis-trustpilot-en-us-148604

Telehealth Mobile Apps: Preferred Channel for Virtual Care Delivery but Generational Difference Persits, J.D. Power Finds. (2023). J.D. Power. Retrieved from https://japan.jdpower.com/en/press-releases/2023_US_Telehealth_Satisfaction_Study

Best Telehealth Apps for Urgent Care: Quick Medical Help at Your Fingertips

Best Telehealth Apps for Urgent Care: Quick Medical Help at Your Fingertips

Health Tech Med Tech

Telehealth apps offer urgent care services right from the comfort of your home. In a recent Rock Health survey with 8,000 respondents, 76% said they used telehealth services in 2023 – a huge increase since the COVID-19 pandemic. 

Many digital health companies have taken advantage of this surge in popularity, each vying to provide the best experience. But which telehealth apps are best for urgent care? 

In this comprehensive guide, we’ll explore the best telehealth apps for urgent care, helping you understand what to look for in a telehealth app when you need medical attention fast.

Contents

What Makes a Great Telehealth App for Urgent Care?

Man holding a phone using a health app

When choosing a telehealth app for urgent care, be sure it has these must-have features (Shah, n.d.):

  • Easy Patient Registration: The app should allow quick and straightforward registration with minimal information required.

  • Patient Dashboard: A dashboard that provides a comprehensive view of medical history, current conditions, and treatment plans is crucial.

  • Doctor Catalog: The app should offer detailed profiles of healthcare providers, including their qualifications and specialties.

  • Appointment Management: Features like calendar integration and reminders help manage appointments efficiently.

  • E-Prescription: The ability to receive prescriptions electronically is a must-have. It helps doctors create and deliver prescriptions with fewer errors (Haleem et al., 2021).

  • Payment Gateway: Secure and straightforward payment options enhance user experience.

User-friendly interface

A user-friendly interface is vital for patients and healthcare providers. It should be easy to navigate, with clear instructions and intuitive design. This ensures that users can quickly find what they need, reducing frustration and improving overall satisfaction.

Board-certified healthcare providers

If the app connects you with board-certified healthcare providers, you’re almost guaranteed to get quality care.

Integration with insurance plans and pricing transparency

Check if the app works with with your insurance plan and shows the up front costs. This can help you avoid unexpected costs, and ensure you can use your insurance benefits effectively.

Privacy and security measures

Privacy and security are paramount when dealing with health information. Look for apps that comply with regulations like HIPAA and offer secure data handling practices.

Now that we’ve covered the essential components of a great telehealth app for urgent care, let’s take a closer look at some of the top-rated options.

Top-Rated Telehealth Apps for Urgent Care

1. Doctor on Demand

Patient using Doctor on Demand app
Source: Doctor on Demand

Doctor on Demand offers a wide range of services, including urgent care, mental health, and preventive care. It’s available on iOS, Android, and web platforms.

Key Features:

  • 24/7 access to board-certified doctors
  • Mental health services
  • Prescription refills
  • Integration with major insurance plans

ProsCons
24/7 availabilityHigher cost without insurance
Accepts MedicareLimited specialty care
User-friendly interface

Use Cases:

  • Treating common conditions like urinary tract infections (UTIs), viruses, and sinus infections
  • Managing mental health issues

To learn more, visit:

2. MDLive

Doctor onscreen with patient - MDLive app
Source: MDLive

MDLive provides urgent care, primary care, and mental health services. It’s known for its comprehensive mental health offerings and user-friendly platform.

Key Features:

  • 24/7 urgent care
  • Mental health services
  • Prescription services
  • Insurance integration

ProsCons
Wide range of servicesHigher cost for uninsured
Insurance acceptedLimited availability in some regions
Easy to use

Use Cases:

  • Urgent care for common ailments
  • Ongoing mental health support

To learn more, visit:

3. PlushCare

Doctor onscreen -  PlushCare app
Source: PlushCare

PlushCare offers primary, urgent, and mental health care. It stands out for its disaster relief programs and specific health services.

Key Features:

  • Primary and urgent care
  • Mental health services
  • Disaster relief programs
  • Subscription-based model

ProsCons
Comprehensive careSubscription required
Disaster relief servicesHigher initial visit cost
Insurance integration

Use Cases:

  • Regular primary care visits
  • Urgent care needs
  • Mental health consultations

To learn more, visit:

4. Sesame Care

Doctor onscreen - Sesame Care app
Source: Sesame Care

Sesame Care is known for its affordability and transparency. It offers a variety of services, including urgent care, primary care, and mental health.

Key Features:

  • Affordable pricing
  • Transparent doctor profiles
  • Wide range of services
  • Membership options

ProsCons
AffordableLimited insurance integration
Transparent pricing
Membership benefits

Use Cases:

  • Affordable urgent care visits
  • Primary care consultations

To learn more, visit:

5. Teladoc

Teladoc statistic: Over 50% of chronic care services live in underserved areas

Source: Sesame Care on Linkedin

Founded in 2002, Teladoc is a pioneer in telehealth. Their app and online portal provide a wide range of healthcare services, including urgent care, mental health support, and chronic condition management. 

Key Features:

  • No-pay service for eligible patients
  • Prescription services
  • Simple consultation process

ProsCons
24/7 availabilityHigher cost without insurance
Wide range of servicesLimited availability in some regions
User-friendly interface

Use Cases:

  • Treating common conditions like the flu, allergies, and sinus infections
  • Ongoing mental health support with the same specialist
  • Dermatology consultations for skin issues

To learn more, visit:

How to Choose the Right Telehealth App for Your Needs

Before you picking a telehealth app for urgent care, consider the following factors.

Decide on your specific urgent care requirements

Consider what you need from a telehealth app. Are you looking for general urgent care, mental health support, or primary care services? 

Identifying your needs will help narrow down your options. It’s also worth checking whether you’d be better served with in-person urgent care.

Compare app features and services

Compare the features and services of different apps. Look for those that offer the specific services you need, such as 24/7 access, mental health support, or prescription refills.

Consider cost and insurance coverage

Check if the app integrates with your insurance plan and understand the costs involved. Some apps offer subscription models that can save money in the long run.

Review provider qualifications and availability

Ensure the app connects you with board-certified providers. Also, check the availability of providers to ensure you can get an appointment when you need it.

Read user reviews and testimonials

User reviews and testimonials can provide valuable insights into the app’s performance and user experience. Look for apps with high ratings and positive feedback.

Once you’ve chosen the appropriate telehealth app, get familiar with it so you’re ready when you or your family have urgent care needs. 

Conclusion

Telehealth apps give us greater access to urgent care, providing quick, convenient, and high-quality medical attention when we need it most. Whether you’re dealing with a sudden illness, need a quick consultation, or require ongoing care, these top telehealth apps for urgent care are ready to connect you with qualified professionals.

When you choose the right app for your needs, expert healthcare is always just a few taps away. Don’t wait until an emergency strikes – explore these apps today and be prepared for whatever health concerns tomorrow may bring.

References

Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors International; 2, 100117. doi.org/10.1016/j.sintl.2021.100117

Knowles, M., Krasniansky, A., Nagappan, A., Zweig, M. & Kaganoff, S. (2024). The new era of consumer engagement: Insights from Rock Health’s ninth annual Consumer Adoption Survey. Rock Health. Retrieved from https://rockhealth.com/insights/the-new-era-of-consumer-engagement-insights-from-rock-healths-ninth-annual-consumer-adoption-survey/

Samee, A. S. (n.d.) 16 Must-Have Telemedicine App Features for a Better Experience. Folio3. Retrieved from https://digitalhealth.folio3.com/blog/telemedicine-app-features/

Shah, R. (n.d.). Must-Have Healthcare Software Features in Your Telemedicine App.” OSP Labs. Retrieved from https://www.osplabs.com/insights/10-must-have-features-in-your-telemedicine-app/

How to Set Up a Home Health Monitoring Station: The Ultimate Guide

How to Set Up a Home Health Monitoring Station: The Ultimate Guide

Health Tech Med Tech

Home health monitoring wearables to track blood pressure, heart rate and sleep are popular.  A 2022 AnalyticsIQ study of 8,000 Americans showed that we’ve doubled our use of wearable health devices between 2020 and 2021. Almost half of the respondents used at least one type of wearable tech, and Black, Latinx, male, and Gen X respondents used it the most.

This surge in popularity is no surprise, as home health monitoring empowers people to take control of their well-being from the comfort of their own homes. 

In this guide, we’ll walk you through the essentials of setting up a home health monitoring system. 

Contents

Let’s start with the fundamentals.

Home Health Monitoring Basics

Definition of home health monitoring

Home health monitoring uses technology to track and manage health conditions at home or on the go. 

Home health monitoring systems let you monitor various health metrics and share the data with healthcare providers remotely. It includes connected health devices and apps to collect, analyze, and transmit health data, facilitating continuous health management without frequent in-office visits (Story, 2010).

Source: ScienceDirect.com, Ahmed & Kannan, 2022.

Key benefits of monitoring health at home

Home health monitoring offers numerous advantages:

  • Increased Health Awareness: People become more aware of their health status, making informed decisions about diet, lifestyle, and treatment options.

  • Reduced Physical Consultations: Minimizes the need for in-person visits, which can be beneficial for people with mobility issues or those living in remote areas.

  • Real-Time Intervention: Allows for prompt medical interventions based on real-time data, to prevent potential complications.

  • Cost Savings: Reduces healthcare costs by decreasing hospital admissions and emergency room visits.

  • Improved Chronic Disease Management: Enhances the management of chronic conditions through continuous monitoring and timely adjustments to treatment plans.

Trackable health metrics 

Heart illustration for ECG monitor

Home health monitoring can track a wide range of health metrics, including:

  • Vital Signs: Heart rate, blood pressure, and body temperature.

  • Biometric Data: Blood glucose levels, blood oxygen saturation (SpO2), and body composition.

  • Activity Levels: Steps taken, calories burned, and sleep patterns.

  • Symptoms: Tracking symptoms related to chronic conditions or acute illnesses.

Medical and tech devices for home health monitoring

Several technologies and devices are available for home health monitoring (Dusun, 2024):

  • Smart Scales: Measure weight and body composition.

  • Blood Pressure Monitors: Track blood pressure levels.

  • Glucose Meters: Monitor blood glucose levels for diabetes management.

  • Pulse Oximeters: Measure blood oxygen saturation.

  • Wearable Fitness Trackers and Smartwatches: Monitor physical activity, heart rate, and sleep patterns.

  • ECG Monitors: Record heart rhythms to detect irregularities.

  • Medication Adherence Trackers: Ensure people take medications as prescribed.

Other conditions require more complicated devices that require training from your provider, including:

  • Apnea monitors

  • Heart monitors

  • Special monitors for dementia and Parkinson’s disease

  • Breathing apparatuses

  • Fetal monitors

Let’s review each of the less complex medical devices in turn.

Essential Devices for Home Health Monitoring

Smart scales for weight and body composition

Smart scale with monitor

A study in England showed that smart scale users who weighed themselves often were more likely to lose weight, and weigh themselves after recent weight loss (Sperrin et al., 2016).

Smart scales go beyond measuring weight; they can also analyze body composition, including body fat percentage, muscle mass, and bone density. These scales connect to health apps, allowing users to track their progress over time.

Before measuring your body composition:

  • Don’t drink alcohol for 2 days before measuring.

  • Avoid exercise, coffee, chocolate, or other diuretics (drinks that make you pee a lot) for 12 hours.

     
  • Don’t eat or drink anything for 4 hours before.

  • Don’t measure if you’re sick with a fever or diarrhea.

  • Use the bathroom within 30 minutes of measuring.

How to use a smart scale

Mondal & Mondal (2021) recommend the following steps to measure your body composition:

  1. Enter your age, sex, and height into the device.

  2. Stand in the right position to ensure you’re touching the electrodes properly.

  3. If your hands and feet are very dry, use a damp cloth to moisten them.

  4. Stand still during the measurement.

These devices may show body fat as a percentage, but don’t rely on just one measurement. Take three in a row, find the average (add the results, then divide by three), and write it down in a health log or app.

Blood pressure monitors

Woman on couch with Blood pressure monitor at home

Blood pressure monitors are essential for people with hypertension or heart conditions. These devices provide accurate readings of systolic and diastolic blood pressure to manage cardiovascular health.

Before taking your blood pressure:

  • Don’t measure your blood pressure until at least 30 minutes after having tea, coffee, energy drinks, cigarettes, or exercising.

  • Remove tight clothes and use the bathroom. 

How to use a blood pressure monitor

Mondal & Mondal (2021) recommend the following steps to take your blood pressure:

  1. Sit in a chair with back support, and legs uncrossed with feet flat on the floor. Rest your arm on a table at heart level.

  2. Put the cuff on their bare arm and start measuring. Don’t move or talk during the measurement.

  3. Take two readings one minute apart, and take the average of them (add the results, then divide by two). For better accuracy, you can do three readings, but it’s optional.

  4. Write down the final number in a health log or app to track any changes. 

Glucose meters for diabetes management

Glucose meter on hand with a blood drop

Glucose meters, or glucometers, are crucial for diabetes management, which helps people  monitor their blood sugar levels regularly. Some advanced models can sync with smartphones and health apps for easy tracking and data sharing with healthcare providers.

How to use a glucose meter

Mondal & Mondal (2021) recommend the following steps to measure your blood sugar:

  1. Check if that the test strips have not expired.

  2. Wash and dry your hands.

  3. Take a test strip and close the container. Use a new lancet each time.

  4. Put the lancet in the right spot on the device and set how deep it will prick based on what works for you or how thick your skin is.

  5. After loading the device, prick your ring or middle finger. You might need to gently squeeze your finger for enough blood.


    Once the blood touches the strip, the meter will take a moment to complete the measurement. The result will show up on the device or your phone.

  6. Throw away the used lancet in a special container for sharp objects and the strip in a biohazard bin. You might need to press your finger with cotton to stop bleeding. You can clean the lancet tip with an alcohol wipe. Write down your blood sugar reading right away in a health log.

Pulse oximeters for oxygen saturation levels

Man taking pulse oximeter reading

Pulse oximeters measure the oxygen saturation level in the blood, which is vital for people with respiratory conditions like chronic obstructive pulmonary disease (COPD) or COVID-19. These devices are easy to use and provide quick, accurate readings.

Before you take a measurement with a pulse oximeter, remove any nail polish from the finger you’re going to use.

How to use a pulse oximeter

Mondal & Mondal (2021) recommend the following steps to measure your oxygen level:

  1. Wash and dry your hands.

  2. Put the device on your finger so it’s not too loose or tight. Don’t use a finger with a tattoo or henna on it.

  3. Make sure your finger covers the lights and sensor properly.

  4. Avoid bright light, which can cause errors. If you can’t, cover the device with a cloth.

  5. Start the device, and keep your finger still during measurement.

Every few days of use, clean the device with an alcohol wipe to ensure accurate readings.

Wearable fitness trackers and smartwatches

Woman in a jacket touching smart watch

Wearable fitness trackers and smartwatches monitor various health metrics, including heart rate, steps taken, calories burned, and sleep patterns. They are popular for their convenience and integration with health and fitness apps.

Note that sometimes, these devices make errors. These errors can happen because the sensors in these devices aren’t perfect at counting or estimating. For example, fitness trackers worn on the wrist may count fewer steps than you actually take if you walk slowly (Hicks et al., 2019).

ECG monitors

Irregular heartbeats, known as heart rate arrhythmia, are a major sign of common heart diseases and can be very dangerous. Because these irregularities can happen suddenly, are hard to notice, and change quickly, it’s important to keep track of heart rate changes in real-time to spot and prevent problems early (Zhang & Yang, 2023).

ECG monitor closeup on stomach

A home electrocardiogram (ECG) monitor can track your heart rate. Note that while wearable ECG monitors can detect heart rhythm issues, but may miss some due to intermittent recording. They’re usually expensive and not covered by insurance. 

Medical-grade monitors are more accurate, using chest sensors for continuous recording. Personal devices use wrist or finger sensors and may require manual activation, making them less reliable for serious conditions (Samaan, 2022).

Before measuring your heartbeat:

  • Move electronic devices, metal, and magnets away from the ECG device.

  • Sit quietly for 5 minutes.

How to use

Mondal & Mondal (2021) recommend the following steps to analyze your heartbeat:

  1. If your hands are dry, use a damp cloth to moisten them.

  2. Follow the instructions to place the electrodes correctly.

  3. Start the device. Don’t move or talk during the measurement.

  4. Have a doctor look at the results afterward.

Medication adherence trackers

Taking your medication as prescribed is a critical part of your overall health and wellness. To help you remember when to take your meds, use one or more medication adherence monitoring technologies like:

  • Medication reminder apps

  • Electronic pill boxes, bags, or bottles

  • Ingestible sensors

  • Blister packs

While these devices offer real-time data and improve adherence monitoring, they face challenges like accuracy issues and expensive implementation. Most rely on proxy measures like device opening events, limiting data precision, and integration with clinical systems is a challenge. (Mason et al., 2022).

Next, we’ll learn how to pick the right health monitoring device for your specific needs.

Choosing the Right Monitoring Devices

Factors to consider when selecting devices

Purple pulse oximeter and mask

When choosing home health monitoring devices, consider the following factors:

  • Ease of Use: Devices should be user-friendly, especially for those with limited technical skills.

  • Accuracy and Reliability: Look for devices with proven accuracy and reliability, supported by clinical validation.

  • Compatibility: Ensure devices are compatible with your smartphone, tablet, or other health platforms.

  • Battery Life: Consider devices with long battery life to avoid frequent recharging.

  • Customer Support: Opt for brands that offer robust customer support and warranty services.

Compatibility with smartphones and other tech

Many home health monitoring devices are designed to sync with smartphones and other tech platforms. This integration allows for seamless data transfer, real-time monitoring, and easy access to health metrics through dedicated apps.

Accuracy and reliability of different brands

To ensure you choose the right device, check that the device is approved by the proper authority such as the FDA or ISO (Mondal & Mondal, 2021).

Research and reviews can also help determine the accuracy and reliability of different brands. Look for devices with positive feedback from users and healthcare professionals, and check for any clinical validation or certifications. 

Once you get your medical device, it’s important to use them properly, and calibrate them at the intervals the manufacturer recommends to maintain its accuracy (Mondal & Mondal, 2021). 

Budget considerations and cost-effectiveness

While some advanced devices can be expensive, there are cost-effective options available that still offer reliable performance. Consider your budget and prioritize devices that provide the best value for money without compromising on essential features.

Once you’ve chosen your devices, it’s vital to address the important aspects of data protection and privacy.

Privacy and Security Considerations

Blue lock shield

Home health monitoring and remote patient monitoring (RPM) are part of telehealth.  Telehealth provides convenience, but also comes with security risks and issues (Houser et al., 2023):

Let’s look at a few best practices to protect and secure your personal health information.

Protect your health data from breaches

Health data is sensitive and must be protected from breaches. Some tips:

  • Use strong passwords for your health apps and devices.

  • Turn on two-factor authentication in your apps.

  • Use email, chat, or messages through the patient portal. This is especially useful when a private location is temporarily unavailable. If the situation isn’t temporary, ask your health provider for suggestions (Houser et al., 2023).

     
  • Regularly update your software to protect against vulnerabilities.

Understand data ownership and sharing policies

Some apps may share data with third parties for research or marketing purposes. Read the privacy policies of your health apps and devices to understand who owns your data and they share it. Opt for apps that prioritize user privacy and offer clear data ownership policies.

Secure your home network for health devices

Some tips to secure your home network include:

  • Use a strong Wi-Fi password and enabling network encryption.

     
  • Check the URL address bar of your browser before you enter your personal information on a website. A secure website will show a lock icon in the address bar, and look for https:// at the beginning of the URL (as some do not include the “s”).

  • Install and use anti-virus software on your devices.

  • Avoid using public Wi-Fi networks for health monitoring, as they are more susceptible to breaches.

Check compliance with health data regulations 

Health Insurance Portability and Accountability Act (HIPAA) is a regulation in the U.S. that protects the privacy and security of people’s personal health information. Check whether your health monitoring devices and apps are HIPAA-compliant before you use them, or the similar standards in your region if you’re not in the U.S. (Gerke et al., 2020).

Now that you know how to secure your data, it’s time to create an effective monitoring environment in your home.

Setting Up Your Home Health Monitoring System

Create a dedicated space for health monitoring

Black woman smiling at phone with glucose meter on arm

Designate a specific area in your home for health monitoring. This space should be quiet, well-lit, and free from distractions to ensure accurate measurements. Keep all your monitoring devices and accessories organized and easily accessible.

Connect devices to your home network

Most home health monitoring devices use Wi-Fi or Bluetooth to connect to your home network. Follow the manufacturer’s instructions to pair each device with your smartphone or tablet. Ensure your home network is secure to protect your health data.

Sync devices with health apps and platforms

Download the necessary health apps for your devices and create accounts if required. Synchronize your devices with these apps to enable data transfer and real-time monitoring. Popular health platforms include Apple Health, Google Fit, and dedicated apps from device manufacturers.

Set a daily routine for regular measurements

Consistency is key to effective home health monitoring. Establish a routine for taking measurements, such as checking your blood pressure every morning or measuring your blood glucose levels before meals. Set reminders on your smartphone to help you stay on track.

With your system set up, let’s see how to make sense of the data you’re collecting.

Interpreting and Using Health Data

Learn about health metrics 

Get familiar with the health metrics your devices track, and understand what they mean. For example, know the normal ranges for blood pressure, blood glucose, and oxygen saturation levels. Health apps often provide explanations and visualizations to help you interpret the data (Chan et al., 2022).

Recognize normal ranges and potential red flags

Knowing the normal ranges for your health metrics allows you to identify potential red flags. For instance, a consistently high blood pressure reading may indicate hypertension, while low oxygen saturation levels could signal respiratory issues (Chan et al., 2022). Consult your healthcare provider if you notice any abnormal readings.

Set health goals and track progress

Use the data from your monitoring devices to set health goals, such as achieving a target weight or maintaining stable blood glucose levels. Track your progress over time and adjust your goals as needed. Health apps often offer goal-setting features and progress-tracking tools.

Share data with healthcare providers securely

Many health apps allow you to share your data with healthcare providers securely. This can be done through app integrations, email, or cloud storage platforms. Sharing your data helps your healthcare provider make informed decisions about your treatment plan and monitor your progress remotely.

Maximizing the Benefits of Home Health Monitoring

To get the most out of your home health monitoring system, consider these strategies for integrating it into your daily life.

Black woman gold top showing phone with glucose meter on arm

Integrate monitoring in your daily routine

Include health monitoring into your daily routine to make it a habit. For example, you can check your blood pressure while having your morning coffee or track your steps during your evening walk. Consistency ensures accurate data and better health management (Kariuki, n.d.).

Make lifestyle improvements

Use the insights from your health data to make positive lifestyle changes. For instance, if your fitness tracker shows low activity levels, you can set a goal to increase your daily steps. If your blood glucose levels are high, you can adjust your diet and exercise routine accordingly (Kariuki, n.d.).

Combine monitoring with telehealth services

Telehealth services complement home health monitoring by providing remote consultations with healthcare providers. Share your health data during these virtual visits to receive personalized advice and treatment plans. Telehealth can be especially beneficial for managing chronic conditions and reducing the need for in-person visits.

Involve your family in health-tracking

Involving family members in your health monitoring can provide additional support and motivation. Share your health goals and progress with them, and encourage them to participate in health-tracking activities. This can create a supportive environment and improve overall health outcomes.

Conclusion

Setting up a home health monitoring system is a proactive step to take charge of your well-being. Once you choose the right devices, set a consistent monitoring routine, and learn how to interpret your health data, you can gain valuable insights into your body’s needs and trends. 

Remember, home health monitoring is no substitute for professional medical advice. Use your newfound knowledge to have more informed discussions with your healthcare provider, ask questions, and make proactive decisions about your health. With the right approach, home health monitoring can lead to better health outcomes and an improved quality of life.

Which health monitors and wearables do you use, and how do they help you?

References

Chan, A., Cohen, R., Robinson, M., Bhardwaj, D., Gregson, G., Jutai, J. W., Millar, J., Rincón, A. R., & Fekr, A. R. (2022). Evidence and User Considerations of Home Health Monitoring for Older Adults: Scoping Review. JMIR Mhealth Uhealth, 5(4). doi.org/10.2196/40079

Consumer HealthTech Research Report. (2023). AnalyticsIQ. Retrieved from https://analytics-iq.com/wp-content/uploads/AnalyticsIQ-Research-Report-Consumer-HealthTech.pdf

Gerke, S., Shachar, C., Chai, P. R., & Cohen, I. G. (2020). Regulatory, safety, and privacy concerns of home monitoring technologies during COVID-19. Nature Medicine, 26(8), 1176. doi.org/10.1038/s41591-020-0994-1

Hicks, J. L., Althoff, T., Sosic, R., Kuhar, P., Bostjancic, B., King, A. C., Leskovec, J., & Delp, S. L. (2019). Best practices for analyzing large-scale health data from wearables and smartphone apps. Npj Digital Medicine; 2(1), 1-12. doi.org/10.1038/s41746-019-0121-1


Home Health Monitoring. (2024). Dusun. Retrieved from https://www.dusuniot.com/blog/home-health-monitoring-complete-guide/

Houser, S. H., Flite, C. A., & Foster, S. L. (2023). Privacy and Security Risk Factors Related to Telehealth Services – A Systematic Review. Perspectives in Health Information Management; 20(1). 

Imtyaz Ahmed, M., & Kannan, G. (2022). Secure and lightweight privacy preserving Internet of things integration for remote patient monitoring. Journal of King Saud University – Computer and Information Sciences; 34(9), 6895-6908. doi.org/10.1016/j.jksuci.2021.07.016

Kariuki, F. (n.d.). The Top 13 Benefits of Remote Patient Monitoring. Health Recovery Solutions. Retrieved from https://www.healthrecoverysolutions.com/blog/the-top-13-benefits-of-remote-patient-monitoring

Mason, M., Cho, Y., Rayo, J., Gong, Y., Harris, M., & Jiang, Y. (2022). Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review. JMIR MHealth and UHealth; 10(3). doi.org/10.2196/35157

Mondal, H., & Mondal, S. (2021). Basic technology and proper usage of home health monitoring devices. Malaysian Family Physician: The Official Journal of the Academy of Family Physicians of Malaysia;16(1), 8-14. doi.org/10.51866/rv1097

Samaan, S. (2022). Are Home ECG Monitors Reliable? GoodRx Health. Retrieved from https://www.goodrx.com/health-topic/heart/home-ecg-monitors

Sperrin, M. et al.  (2016). Who self-weighs and what do they gain from it? A retrospective comparison between smart scale users and the general population in England. Journal of Medical Internet Research; 18, e17.

Story, M. F. (2010). National Research Council (US) Committee on the Role of Human Factors in Home Health Care. The Role of Human Factors in Home Health Care: Workshop Summary. Washington (DC): National Academies Press (US); 8, Medical Devices in Home Health Care. Retrieved from https://www.ncbi.nlm.nih.gov/books/NBK210047/

Telehealth and remote patient monitoring. (n.d.). Health Resources & Services Administration (HRSA). Retrieved from https://telehealth.hhs.gov/providers/preparing-patients-for-telehealth/telehealth-and-remote-patient-monitoring

Zhang, J. & Yang, H. (2023). A Privacy-preserving Remote Heart Rate Abnormality Monitoring System. IEEE Access; 11, 97089-97098. doi:10.1109/ACCESS.2023.3312549

How AI Helps Combat Global Health Crises

How AI Helps Combat Global Health Crises

AI Health Tech Med Tech

As we learned during the pandemic, global health threats can spread rapidly across borders, and the need for innovative solutions has never been more pressing. 

Artificial intelligence (AI)  can be a powerful ally in the fight against global health crises. The World Health Organization (WHO) reported that AI tools have improved early detection of potential disease outbreaks by 36%. 

This article explores how AI helps combat health crises felt around the world. 

Contents

Early Detection and Prediction of Outbreaks

Lab room items illustration

During the pandemic, AI initiatives for forecasting and modeling increased dramatically. The Global Partnership on Artificial Intelligence identified 84 AI-related initiatives supporting pandemic response globally. (Borda et al, 2022).

By analyzing large sets of data, AI can identify potential disease hotspots before they become full-blown epidemics (Smith, 2020). How? 

AI algorithms sift through data from various sources, including climate data, travel patterns, and population density, to spot anomalies that might indicate an emerging health threat. 

Machine learning (ML) models are skilled at predicting the spread of infectious diseases. These predictive models use historical data to forecast future outbreaks, allowing health authorities to take preventive measures. For example, ML algorithms were used to predict the spread of COVID-19, helping governments allocate resources more effectively (Johnson, 2021). 

A few more examples:

  • Boston Children’s Hospital’s HealthMap used real-time data for early COVID-19 detection (Gaur et al., 2021). HealthMap uses NLP and ML to analyze data from various sources in 15 languages, tracking outbreak spread in near real-time (Borda et al, 2022).
  • Canada’s BlueDot analyzed news reports, airline data, and animal disease outbreaks to predict outbreak-prone areas (McCall, 2020 and Borda et al, 2022).
  • Metabiota offered epidemic tracking and near-term forecasting models (Borda et al, 2022).

Predictive modeling with medical imaging has a high accuracy rate  

In a study that created an early warning system for COVID-19, they combined clinical information and CT scans with 92% accuracy in predicting which patients might get worse (Lv et al., 2024). 

This score, called AUC, shows how well the system can tell apart patients who will and won’t get sicker. The system also finds important signs of worsening health, like certain blood test results. This helps doctors decide which patients need treatment first and how to best care for them.

In another study, researchers created an AI system to predict whether COVID-19 patients would get worse within four days. This system used chest X-rays and patient data. When tested on 3,661 patients, the system had a 79% accuracy rate. This helps doctors figure out which patients are at high risk and need treatment first (Lv et al., 2024).

Social media’s role in early detection

Real-time monitoring of social media and news sources also plays a crucial role in early detection. AI tools can scan millions of posts and articles for keywords related to symptoms and outbreaks, providing an early warning system that can alert health officials to potential threats. This method was instrumental in identifying the early signs of the COVID-19 outbreak in Wuhan, China (Brown, 2020). 

Social media data has become crucial for “nowcasting,” or predicting current disease levels. Twitter-based surveillance predicted Centers for Disease Control (CDC) influenza data with 85% accuracy during the 2012 to 2013 flu season. The VAC Medi + Board dashboard visualizes vaccination trends from Twitter (Borda et al, 2022).

Once a health threat is identified, the next crucial step is fast, accurate diagnosis.

Enhancing Diagnostic Accuracy and Speed

X-ray on blue film

AI can improve diagnostic accuracy and speed. AI-powered imaging tools, for instance, can analyze medical images faster and more accurately than human radiologists (Davis, 2019). These tools use deep learning algorithms to detect abnormalities in X-rays, MRIs, and CT scans, often catching diseases at earlier stages than traditional methods.

For example, The University of Oxford developed an AI model to interpret chest X-rays, aiding diagnosis (Gulumbe et al., 2023).

Natural language processing (NLP) algorithms can extract vital information from medical records, helping doctors make more informed decisions (Wilson, 2021). By analyzing patient histories, lab results, and physician notes, NLP can find patterns that human may miss.

Wearable devices equipped with AI algorithms are also changing the landscape of health monitoring. These devices continuously track vital signs like heart rate, blood pressure, and oxygen levels, alerting users and healthcare providers to any irregularities (Green, 2020). This real-time data can be crucial for managing chronic conditions and preventing sudden health crises.

After diagnosis, the race for treatment begins. AI is speeding up this process in remarkable ways.

Accelerating Drug Discovery and Development

Vials scale and microscope

The process of drug discovery and development is time-consuming and expensive. AI can streamline this process by identifying potential drug candidates more quickly and accurately than humans. 

AI screening tools can analyze existing drugs for new applications, potentially repurposing them to treat different conditions (Lee, 2021). 

ML models are also being used to design novel drug compounds. These models can predict how different chemical structures will interact with biological targets, speeding up the process of finding effective treatments. 

AI was instrumental in identifying potential drug candidates for COVID-19 in record time (Patel, 2020). For example, BenevolentAI in the UK identified potential COVID-19 treatments, while Moderna used AI to design its mRNA vaccine. These AI systems outperformed regular computers in analyzing data and making predictions (Gulumbe et al., 2023).

Simulations

Simulation of clinical trials is another area where AI is making an impact. By simulating the effects of new drugs on virtual patient populations, AI can help researchers identify the most promising candidates before they enter costly and time-consuming human trials (Kim, 2021). This approach saves time and reduces the risk of adverse effects.

Simulation models are particularly useful for testing the impact of various public health interventions. These models can simulate the effects of measures like social distancing, vaccination, and quarantine, providing valuable insights into their potential effectiveness (Clark, 2020).

Even the best treatments need efficient delivery systems. Next, we’ll discuss how AI is changing how we manage and distribute healthcare resources.

Optimizing Resource Allocation and Healthcare Delivery

Nurse talking to staff

AI systems are proving invaluable in managing hospital resources and patient flow. Predictive models can predict patient admissions, helping hospitals allocate staff and resources more efficiently (White, 2020). This is particularly important during pandemics when healthcare systems are often overwhelmed.

Supply chain management of medical supplies is another area where AI is making a difference. Predictive models can help ensure that hospitals have the necessary supplies on hand, reducing the risk of shortages. 

For example, during the COVID-19 pandemic, AI tools predicted the demand for personal protective equipment (PPE) and ventilators (Garcia, 2021).

Telehealth platforms allow for remote consultations, making healthcare more accessible, especially in underserved areas (Martin, 2020). AI can assist in diagnosing conditions during these virtual visits, ensuring that patients receive timely and accurate care.

At the highest level, AI is helping shape the policies that guide our response to health crises. 

Supporting Public Health Decision-Making

AI is critical in public health decision-making. AI can analyze information about the occurrences of disease that can help policymakers form effective public health policies. 

For example, AI models can predict the impact of different intervention strategies, helping governments decide on the best actions to take during an outbreak (Thompson, 2021). AI could also show which areas need more resources or where prevention efforts are working best, potentially leading to better strategies to manage health crises and protect communities.

Public health disease surveillance with AI

AI has greatly improved disease surveillance and epidemic detection. 

AI applications can track various diseases including malaria, dengue fever, and cholera. The U.S. CDC’s FluView app and the ARGONet system are examples of advanced flu-tracking tools (Borda et al., 2022).

Natural Language Generation (NLG)

Natural language generation (NLG) is another AI technology that supports public health efforts. NLG algorithms can create clear and targeted public health messages, ensuring that information is easily understood by the general public (Adams, 2021). This is crucial during health crises when timely and accurate communication can save lives

Conclusion

In the face of increasingly complex global health challenges, AI stands out as a vital tool in our arsenal. From spotting disease outbreaks before they spiral out of control to speeding up drug development and optimizing healthcare delivery, AI is proving its worth in countless ways. While it’s not a silver bullet, the integration of AI into global health strategies offers a path to more effective, efficient, and equitable healthcare worldwide. 

However, AI’s use is mostly limited to rich countries, which worsens health inequalities. To fix this, we need international teamwork to improve digital systems in poorer countries. Partnerships between these countries, wealthy nations, and tech companies could help share technology and build skills. It’s also important to create AI solutions that fit each region’s specific needs (Gulumbe et al., 2023).

As we continue to refine and expand AI applications in this field, we move closer to a future where we can respond swiftly and effectively to health crises, saving countless lives in the process.

References

Adams, L. (2021). Natural Language Generation in Public Health. Journal of Health Communication, 26(4), 89-101.

Borda, A. Molnar, A., Nessham, C. & Kostkova, P. (2022). Ethical Issues in AI-Enabled Disease Surveillance: Perspectives from Global Health. Applied Sciences. 12, 3890. doi:10.3390/app12083890

Brown, A. (2020). Real-Time Monitoring of Social Media for Disease Outbreaks. Public Health Reports, 135(4), 456-467.

Clark, D. (2020). Simulation Models for Public Health Interventions. Health Policy and Planning, 35(5), 123-135.

Davis, R. (2019). AI-Powered Imaging Tools in Diagnostics. Radiology Today, 36(5), 78-85.

Garcia, T. (2021). Predictive Models for Medical Supply Chain Management. Journal of Supply Chain Management, 28(3), 67-79.

​​Gaur L, Singh G, Agarwal V. Leveraging artificial intelligence tools to combat the COVID-19 crisis. In: Singh PK, Veselov G, Vyatkin V, Pljonkin A, Dodero JM, Kumar Y (eds) Futuristic Trends in Network and Communication Technologies. Singapore: Springer, 2021, pp. 321–328. doi.org/10.1007/978-981-16-1480-4_28.

Green, P. (2020). Wearable Devices for Health Monitoring. Journal of Digital Health, 22(3), 201-213.

Gulumbe, B. H., Yusuf, Z. M., & Hashim, A. M. (2023). Harnessing artificial intelligence in the post-COVID-19 era: A global health imperative. Tropical Doctor. doi.org/10.1177/00494755231181155

Johnson, L. (2021). Predictive Models for Infectious Disease Spread. Health Informatics Journal, 27(2), 89-102.

Kim, H. (2021). Simulation of Clinical Trials Using AI. Clinical Trials Journal, 33(2), 145-158.

Lee, M. (2021). AI-Driven Drug Discovery. Pharmaceutical Research, 38(6), 789-802.

Lv, C., Guo, W., Yin, X., Liu, L., Huang, X., Li, S., & Zhang, L. (2024). Innovative applications of artificial intelligence during the COVID-19 pandemic. Infectious Medicine, 3(1), 100095. doi.org/10.1016/j.imj.2024.100095

Martin, R. (2020). Telemedicine and AI. Journal of Telehealth, 19(2), 34-46.

McCall B. COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread. Lancet Digital Health 2020; 2: e166–e167.

Patel, S. (2020). Machine Learning in Drug Development. Drug Development Today, 25(7), 123-136.

Smith, J. (2020). Artificial Intelligence in Disease Detection. Journal of Epidemiology, 45(3), 123-134.

Thompson, E. (2021). AI in Public Health Policy. Public Health Journal, 40(1), 23-36.

White, J. (2020). AI in Hospital Resource Management. Healthcare Management Review, 35(4), 89-100.

Wilson, K. (2021). Natural Language Processing in Healthcare. Medical Informatics, 29(1), 45-58.