Chronic Pain Management Apps: The Best Digital Health Tools for Relief

Chronic Pain Management Apps: The Best Digital Health Tools for Relief

by Ree AI Health Tech Med Tech

Living with chronic pain can be a daily struggle, affecting millions of people worldwide. According to the CDC, an estimated 20.9% of U.S. adults experienced chronic pain in 2021. Fortunately, technology has stepped in to offer innovative solutions, like chronic pain management apps.

These digital assistants are powerful, accessible tools to help pain sufferers track symptoms, manage medications, and find relief. In this article, we’ll discuss chronic pain management apps in detail, outlining the ways they can help improve quality of life for those who experience chronic pain.

Contents

Overview of chronic pain management

First, let’s take a look at the various digital tools available to help manage chronic pain.

Woman wearing a VR headset in a coworking space

Types of digital tools for chronic pain

Many digital tools on the market can help assess and treat chronic pain, and improve how patients access and engage with their care (Rejula et al., 2021):

  • Artificial Intelligence (AI): AI is being used more in healthcare, including for diagnosing and managing treatments. For chronic pain, AI can use data like breathing rate, oxygen levels, and heart rate to estimate pain levels and changes.
  • Remote Patient Monitoring (RPM): Tools like smartphone apps, sensors, and wearable devices can help doctors collect and track patient symptoms between appointments. 
  • Digital therapy: These are devices and methods that give patients frequent advice to improve their behaviors and habits. Most of these use an approach called cognitive behavioral therapy (CBT).
  • Virtual patient engagement: Digital communication tools can help patients be more involved in their care, no matter where they are.

Definition of chronic pain management apps

Senior woman with leg pain in chair

Chronic pain management apps are mobile applications that help people with chronic conditions like diabetes, cancer, and fibromyalgia track and control their pain. They serve as a digital companion, offering features like pain diaries, medication reminders, and educational resources. The main goal is to empower users to take control of their pain management, providing insights that can lead to better health outcomes.

How they’re different from general health apps

While general health apps focus on overall wellness, chronic pain management apps are tailored to address specific pain-related issues. They offer specialized tools like pain mapping and flare-up prediction, which are not typically found in standard health apps.

Key features and functions

Timed pill box

Chronic pain management apps come packed with features to make pain management easier:

  • Pain tracking: Users can log pain episodes, noting intensity, location, and triggers. This helps in identifying patterns and potential triggers.

  • Medication management: Apps often include reminders to take medication, ensuring adherence to prescribed treatments.

  • Educational resources: Many apps offer information on pain management techniques, such as deep breathing exercises and guided meditation.

  • Integration with wearables: Some apps sync with wearable devices to provide real-time data on physical activity and sleep patterns.

Benefits of using digital tools for pain management

Why should you consider using these apps? Here are some benefits:

  • Improved self-management: By tracking pain and related factors, users gain insights into their condition, leading to better management.

  • Better communication: Sharing app data with doctors can lead to more informed treatment decisions.

  • Convenience: Having a digital tool at your fingertips means you can manage your pain anytime, anywhere.

Top Features of Effective Pain Management Apps

When choosing a pain management app, certain features can make a big difference in how well it works. Let’s explore what to look for.

Elderly hands on smartwatch

Pain tracking 

Effective apps allow users to log pain episodes in detail. This includes noting the intensity, duration, and location of pain, as well as potential triggers. A study found that detailed pain tracking can help users identify patterns and adjust their management strategies accordingly (Zhao et al., 2019).

Medication reminders and management

Medication adherence is crucial in pain management. Apps with reminder features ensure users take their medication on time, reducing the risk of missed doses and improving overall treatment effectiveness.

Customizable pain scales and body maps

Customizable features allow users to personalize their pain assessment. This means they can adjust pain scales to better reflect their experiences and use body maps to pinpoint pain locations accurately.

Integration with wearable devices 

Integration with wearables provides real-time data on various health metrics, such as heart rate and activity levels. This data can offer insights into how lifestyle factors affect pain, allowing for more informed management decisions.

Let’s take a closer look at some of the most popular chronic pain management apps available today. These apps offer various features to help users track, manage, and understand their pain better.

Note: Prices listed in this section are accurate as of August 2024. Visit the app’s website to confirm their current pricing.

1. Pathways Pain Relief

Pathways app
Source: Pathways

Pathways Pain Relief is a web-based app created by chronic pain sufferers and pain specialists at Pathway. It aims to help users manage their pain through mind-body therapies and comprehensive pain education.

Key Features:

  • Mind-body pain therapy program

  • Meditation and mindfulness exercises

  • Physical therapy area

  • Pain and wellbeing tracking
ProsCons
Comprehensive approach to pain managementWeb-based only (no mobile app)
Created by pain sufferers and specialistsRequires internet connection
High user rating (4.6/5)

Cost: $79 (flat fee).

Use case

A chronic pain patient looking for a holistic approach to pain management, combining physical therapy, mindfulness, and pain education.

To learn more, visit:

Pathways Pain Relief

2. Curable

Curable app
Source: Curable

Curable is available on iOS, Android, and web platforms. It was founded by three individuals who recovered from chronic pain and now aim to help others access similar treatments.

Key Features:

  • Mind-body pain therapy program

  • Meditation and mindfulness area

  • Chatbot for personalized guidance
ProsCons
Available on multiple platformsLower user rating compared to some competitors (4.2/5)
Personalized guidance through chat bot
Founded by chronic pain recovery stories

Cost: $11.99 per month.

Use case

Someone interested in exploring mind-body connections in pain management, with a preference for guided, personalized experiences.

To learn more, visit:

Curable

3. Manage My Pain

Manage My Pain app
Source: Managing Life

Manage My Pain, an app created by Managing Life, is available on iOS, Android, and web platforms. It focuses on detailed pain tracking and analysis to help users understand their pain patterns.

Key Features:

  • Comprehensive tracking of pain and well-being

  • Export statistics for healthcare providers

  • Easy-to-read charts and graphs
ProsCons
Detailed pain tracking capabilitiesMay be overwhelming for users seeking simpler solutions
Shareable reports for healthcare providers
High user rating (4.4/5)

Cost: $4.99 per month for reports and educational content.

Use case

A patient who wants to keep detailed records of their pain experiences to share with their healthcare team and identify patterns over time.

To learn more, visit:

Manage My Pain

4. Migraine Buddy

Migraine Buddy app
Source: Migraine Buddy

Migraine Buddy, developed by Aptar Digital Health, is specifically designed for migraine sufferers. Available on iOS and Android, it helps users track and manage their headache and migraine symptoms.

Feedback on Migraine Buddy says the app is great for people with migraines (Gamwell et al, 2021). It lets users share info with doctors, track what causes their migraines, and what helps relieve them. It can also calculate how much migraines affect a person’s daily life. 

Key Features:

  • Migraine tracking and analysis

  • Community support features

  • Educational resources on migraines
ProsCons
Specialized for migraine sufferersNot suitable for other types of chronic pain
Strong community support
Very high user rating (4.6/5)

Cost: $0 for MigraineBuddy; $12.99 per month or $89.99 per year for MBplus.

Use case

A migraine sufferer looking to track their symptoms, identify triggers, and connect with others who have similar experiences.

To learn more, visit:

MigraineBuddy

5. CareClinic

CareClinic app
Source: CareClinic

CareClinic is available on iOS and Android. It offers a comprehensive approach to symptom tracking and treatment planning.

Key Features:

  • Symptom and treatment goal tracking

  • Daily habit monitoring

  • Medication and appointment reminders
ProsCons
Comprehensive tracking of symptoms and treatmentsMay require significant time investment for data entry
Goal-setting features
High user rating (4.6/5)

Cost: Free; they also have monthly and annual plans for premium features.

Use case

A patient managing multiple chronic conditions who needs to track various symptoms, medications, and treatments in one place.

To learn more, visit:

CareClinic

6. PainScale

PainScale app

Boston Scientific Corporation created PainScale, a highly-rated pain management app with a range of features for tracking and managing chronic pain, and educational articles. It’s available on iOS, Android, and the web. 

Gamwell et al (2021) noted that PainScale includes the very helpful techniques for managing pain, and is easy to use for various types of chronic pain. It has a daily diary where users can track their symptoms, triggers, and medications, and can be share this info with doctors. 

Key Features:

  • Pain tracking and analysis

  • Personalized pain management plans

  • Educational resources
ProsCons
Comprehensive pain management featuresLimited information available about cons
Personalized approach
High quality score in research studies

Cost: Free

Use case

A chronic pain patient looking for a well-rounded app that combines tracking, personalized plans, and education.

To learn more, visit:

PainScale

How to Choose the Right Pain Management App

Selecting the right app can be overwhelming. With so many options available, how do you pick the right app for your needs? Here’s how to make an informed choice.

Woman holding her temples

Assess your specific needs and pain conditions

Start by evaluating your specific pain conditions. Are you dealing with neuropathic pain, or is it more related to a chronic condition? Choose an app that offers features tailored to your needs.

Consider ease of use

An app should be easy to navigate. Look for a user-friendly interface that allows you to access features quickly and efficiently.

Review data privacy and security features

Data privacy is crucial. Ensure the app complies with relevant data protection regulations and offers secure data storage.

Check compatibility with other devices

Make sure the app is compatible with your smartphone, tablet, or wearable devices. Compatibility ensures seamless integration and use.

When comparing these apps, consider what features are most important to you. Do you prefer detailed tracking, or is community support more valuable? Each app offers unique benefits, so choose one that aligns with your needs. Remember to consult with your healthcare provider about incorporating these tools into your overall pain management plan.

Integrating Apps into Your Pain Management Plan

Once you’ve chosen an app, the next step is to make it a regular part of your pain management routine.

Man holding his knee in pain

Work with healthcare providers to use app data effectively

Share app data with your healthcare provider. This collaboration can lead to more informed treatment decisions and better pain management outcomes.

Combine app use with other pain management strategies

Apps should complement, not replace, other pain management strategies. Combine app use with physical therapy, medication, and lifestyle changes for optimal results.

Set realistic expectations for app benefits

Understand that while apps are helpful tools, they are not a cure-all. Set realistic expectations for what an app can achieve in managing your pain.

Tips for consistent app usage and data logging

Consistency is key. Regularly update the app with accurate information to track your progress and adjust your management strategies as needed.

Conclusion

Chronic pain management apps offer a ray of hope for those grappling with persistent pain. These digital tools empower users to take an active role in their pain management, providing valuable insights and support. However, these apps shouldn’t replace professional medical advice. 

By choosing the right app and integrating it into your overall pain management strategy, you can gain a better understanding of your condition and find more effective ways to cope. Embrace these technological advancements and take the first step towards a more manageable pain experience.

References

FDA Authorizes Marketing of Virtual Reality System for Chronic Pain Reduction. (2021). U.S. Food and Drug Adminstration. Retrieved from https://www.fda.gov/news-events/press-announcements/fda-authorizes-marketing-virtual-reality-system-chronic-pain-reduction

Gamwell, K. L., Kollin, S. R., Gibler, R. C., Bedree, H., Bieniak, K. H., Jagpal, A., Tran, S. T., Hommel, K. A., & Ramsey, R. R. (2021). Systematic evaluation of commercially available pain management apps examining behavior change techniques. Pain; 162(3), 856. doi.org/10.1097/j.pain.0000000000002090

Orlovich Pain MD. (n.d.). The Power of Pain Management Apps: A New Frontier in Chronic Pain Relief. Retrieved from https://orlovichpainmd.com/the-power-of-pain-management-apps-a-new-frontier-in-chronic-pain-relief/ 

Rejula, V., Anitha, J., Belfin, R. V., & Peter, J. D. (2021). Chronic Pain Treatment and Digital Health Era-An Opinion. Frontiers in Public Health; 9, 779328. doi.org/10.3389/fpubh.2021.779328

Rikard, S. M., Stahan, A. E., Schmit, K. M., & Guy Jr., G. P. (2023). Chronic Pain Amonf Adults – United States, 2019-2021. MMWR Morb Mortal Wkly Rep 2023;72:379–385. dx.doi.org/10.15585/mmwr.mm7215a1. Retrieved from https://www.cdc.gov/mmwr/volumes/72/wr/mm7215a1.htm

Zhao, P., Yoo, I., Lancey, R., & Varghese, E. (2019). Mobile applications for pain management: An app analysis for clinical usage. BMC Medical Informatics and Decision Making; 19. doi.org/10.1186/s12911-019-0827-7

Prescription Digital Therapeutics: The Future of Digital Health Solutions

Prescription Digital Therapeutics: The Future of Digital Health Solutions

by Ree AI Health Tech Med Tech

The global market for prescription digital therapeutics (PDT) is expected to grow to $17.16 billion by 2030. This growth is mainly due to the affordability of digital health technology for both healthcare providers and patients, as well as the increasing use of smartphones in both developed and developing countries.

In this article, we’ll describe PDT, its applications, benefits, and challenges.

Contents

What Are Prescription Digital Therapeutics?

Prescription digital therapeutics (PDTs) are a new class of medical interventions that leverage software to treat, manage, or prevent diseases and disorders. Unlike typical health apps, PDTs require a prescription from a healthcare provider and are subject to rigorous regulatory scrutiny.

According to the U.S. Food and Drug Administration (FDA), prescription digital therapeutics are medical devices, also called Software as a Medical Device (SaMD). The FDA review of prescription digital therapeutics is the same as the process the FDA uses to review medical devices. 

Definition and key characteristics of PDTs

PDTs are software-based treatments delivered through mobile devices, designed to address the behavioral and psychological aspects of various health conditions. These digital tools are developed based on scientific evidence and aim to provide therapeutic benefits comparable to traditional medical treatments (Phan et al., 2023). 

Source: Avalere

Examples of prescription digital therapeutics developers

This chart from Blue Matter Consulting (2023) lists 154 PDT companies.

Source: Blue Matter

How PDTs differ from wellness apps and other digital health tools

While wellness apps focus on general health and fitness, PDTs are designed to treat specific medical conditions. PDTs undergo clinical trials, and are subject to stringent regulatory processes to ensure they meet high standards of safety and effectiveness. This regulatory oversight differentiates PDTs from other digital health tools, which may not require such rigorous evaluation.

The PDT regulatory framework 

The FDA plays a critical role in the approval of PDTs. These therapeutics must demonstrate clinical efficacy and safety through rigorous trials before receiving FDA clearance. This process ensures that PDTs meet the same standards as traditional pharmaceuticals, providing healthcare providers and patients with confidence in their use (Phan et al., 2023).

The Science Behind Prescription Digital Therapeutics

PDTs are grounded in scientific research and evidence-based practices to ensure their effectiveness in treating various health conditions.

Evidence-based approaches used in PDTs

PDTs incorporate evidence-based approaches to help patients change their behaviors and manage symptoms effectively, such as: 

For instance, CBT-based PDTs can help identify and change negative thought patterns, improving mental health outcomes. A study on a PDT for opioid use disorder found it improved retention in treatment by 76% at 12 weeks compared to treatment as usual (Brezing & Brixner, 2022). 

Clinical trials and efficacy studies supporting PDTs

Lab worker

Clinical trials are essential for validating the efficacy of PDTs. These studies assess the therapeutic outcomes of PDTs compared to traditional treatments. 

For example, trials have shown PDTs can be effective in managing substance use disorders and chronic insomnia, providing real-world evidence of their clinical benefits (Brezing & Brixner, 2022).

Applications of Prescription Digital Therapeutics

PDTs offer promising solutions across a range of medical conditions, providing tailored interventions for diverse patient needs.

Mental health conditions

Therapist and patient talking on couch

PDTs are increasingly used to treat mental health disorders such as depression, anxiety, schizophrenia, and post-traumatic stress disorder (PTSD). In a randomized controlled trial, a PDT for depression reduced symptoms by 45.6% compared to 17.4% with usual treatment (Phan et al., 2023).

These digital tools provide accessible and scalable interventions, often with CBT techniques to help patients manage symptoms and improve their quality of life.

Chronic diseases

For chronic conditions like diabetes and hypertension, PDTs offer personalized management strategies. They enable continuous monitoring and data analysis, facilitating timely adjustments to treatment plans and improving patient outcomes (Phan et al., 2023).

A PDT for type 2 diabetes led to a 1.1% reduction in HbA1c levels after 6 months in a clinical trial (Phan et al., 2023).

Substance use disorders and addiction treatment

Woman sitting with hands clasped

PDTs are particularly effective in treating substance use disorders, offering structured programs that support recovery. They provide patients with tools to manage cravings and develop healthier coping mechanisms, contributing to sustained recovery. 

A couple of examples:

  • Research with 1,758 patients using a PDT for substance use disorder showed 64.1% abstinence at 12 months (Brezing & Brixner, 2022).
  • A PDT for alcohol use disorder resulted in 63% of patients reducing heavy drinking days compared to 32% receiving standard treatment (Rassi-Cruz et al., 2022).

Neurological disorders

Conditions such as ADHD and insomnia can benefit from PDTs, which offer targeted interventions to manage symptoms and improve daily functioning. For instance, PDTs for insomnia often include sleep hygiene education and relaxation techniques to enhance sleep quality.

Benefits of Prescription Digital Therapeutics

PDTs offer numerous advantages that enhance patient care and healthcare delivery.

Improved accessibility to treatment

PDTs make healthcare more accessible by providing treatments that can be delivered remotely via mobile devices. This is particularly beneficial for individuals in underserved areas or those with mobility challenges, ensuring they receive timely care.

Personalized and adaptive interventions

PDTs can be tailored to individual patient needs, offering adaptive interventions that evolve based on real-time data. This personalization enhances treatment effectiveness and patient satisfaction (Phan et al., 2023).

Real-time data collection and analysis

The ability to collect and analyze data in real-time allows healthcare providers to monitor patient progress continuously. PDTs can collect patient data continuously, providing 1440 data points per day compared to 1-4 from traditional in-person visits. This facilitates early detection of issues and enables proactive adjustments to treatment plans, improving overall outcomes (Phan et al., 2023).

Reduced healthcare costs

By providing effective and scalable interventions, PDTs have the potential to reduce healthcare costs. They can decrease the need for in-person visits and hospitalizations, making them a cost-effective alternative to traditional treatments. For example, an economic analysis estimated PDTs could save $2,150 per patient per year for opioid use disorder treatment (Brezing & Brixner, 2022).

Challenges and Limitations of PDTs

Despite their benefits, PDTs face several challenges that must be addressed to maximize their potential.

Doctor showing a patient an app in green

Federal regulation lags behind software development

Digital therapeutics (DTx) are mobile medical apps that use new tech like artificial intelligence (AI) and virtual reality (VR). They’re always changing, with new versions coming out every few months, which makes them hard to regulate. 

DTx Products 2015-2021 with Regulatory Status

A problem with a DTx app could hurt someone’s health, so to keep DTx safe for consumers without stopping progress, software companies need to self-regulate–find ways to reduce risks and follow ethical rules on their own to help patients and build trust with their doctors.

One way to self-regulate is to involve clinicians in app development. Doctors know what patients need and can spot potential problems. But surprisingly, most health apps are made without input from medical experts. A study found only 20% of health apps included input from health professionals during development (Rassi-Cruz et al., 2022). 

Data privacy and security concerns

The collection and storage of sensitive health data raise significant privacy and security concerns. Ensuring robust data protection measures is crucial to maintaining patient trust and compliance with regulations (Phan et al., 2023).

Integration with existing healthcare systems

Integrating PDTs into existing healthcare infrastructures can be complex. Seamless integration is necessary to ensure that PDTs complement traditional treatments and fit within the broader healthcare ecosystem.

Patient adherence and engagement

Black man using his blood pressure monitor at home

Maintaining patient engagement with PDTs can be challenging. 

For example, take mental health apps that use CBT or provide feedback through wearables like smartwatches. While helpful, these apps often aren’t covered by insurance, and patients may pay out-of-pocket. They often give up if they don’t see quick results. 

Ensuring that patients adhere to prescribed digital therapies is essential for achieving desired outcomes, requiring strategies to enhance motivation and commitment. Pharmacists can help by encouraging patients to stick with the apps and complete all modules (Pharmacy Times, 2024).

Reimbursement and insurance coverage issues

Securing reimbursement for PDTs remains a hurdle, as insurance companies may be hesitant to cover these relatively new treatments. Establishing clear guidelines and demonstrating cost-effectiveness may help overcome this barrier.

The Future of Prescription Digital Therapeutics

The future of PDTs is promising, with advancements in technology and expanding applications poised to enhance their impact on healthcare.

overlay with doctor and pill bottle

Emerging technologies such as artificial intelligence and machine learning are set to revolutionize PDTs. These innovations can enhance personalization and predictive capabilities, improving treatment outcomes and patient experiences.

Potential for combination therapies

Combining PDTs with traditional treatments offers a holistic approach to healthcare. This synergy can enhance therapeutic outcomes by addressing multiple aspects of a patient’s condition, providing comprehensive care (Phan et al., 2023).

Expanding applications in preventive care and wellness

PDTs hold potential for preventive care by identifying and addressing health risks early. Their application in wellness can promote healthier lifestyles and prevent the onset of chronic diseases, contributing to improved public health.

Conclusion

In digital health, PDTs offer promising avenues for improving patient outcomes, increasing access to care, and potentially reducing healthcare costs. While challenges remain, the growing body of evidence supporting PDTs suggests that they will play an increasingly important role in the future of healthcare delivery. 

As patients, healthcare providers, and policymakers alike embrace these innovative tools, we can look forward to a more personalized, accessible, and effective approach to managing a wide range of health conditions.

References

Bashran, E. (2024). Prescription Digital Therapeutics: Devices. HealthAffairs. Retrieved from

https://www.healthaffairs.org/doi/10.1377/hlthaff.2024.00159

Brezing, C. A., & Brixner, D. I. (2022). The Rise of Prescription Digital Therapeutics In Behavioral Health. Journal of Behavioral Health; 11(4), 1-10. doi: 10.1007/s12325-022-02320-0 

Global Prescription Digital Therapeutics (PDTx) Market – Industry Trends and Forecast to 2030. (2023). Data Bridge Market Research. Retrieved from https://www.databridgemarketresearch.com/reports/global-prescription-digital-therapeutics-dtx-market

Liesch, J., Volgina, D. Nessim, C., Murphy, D., & Samson, C. (2023). Blue Matter Consulting. Retrieved from https://bluematterconsulting.com/prescription-digital-therapeutics-us-market-outlook-2023/

Phan, P., Mitragotri, S., & Zhao, Z. (2023). Digital therapeutics in the clinic. Bioengineering & Translational Medicine; 8(4), e10536. doi:10.1002/btm2.10536. 

Prescription Digital Therapeutics Bring New Treatments to Healthcare. (2021). Avalere Health. Retrieved from https://avalere.com/insights/prescription-digital-therapeutics-bring-new-treatments-to-healthcare

Prescription Digital Therapeutics for Mental Health: Effectiveness, Challenges, and Future Trends. (2024). Pharmacy Times. Retrieved from https://www.pharmacytimes.com/view/prescription-digital-therapeutics-for-mental-health-effectiveness-challenges-and-future-trends

Rassi-Cruz, M., Valente, F., & Caniza, M. V. (2022). Digital therapeutics and the need for regulation: How to develop products that are innovative, patient-centric and safe. Diabetology & Metabolic Syndrome; 14. doi.org/10.1186/s13098-022-00818-9 

Wang, C. Lee, C. & Shin, H. (2023). Digital therapeutics from bench to bedside. npj Digital Medicine; 6(1), 1-10. doi.org/10.1038/s41746-023-00777-z

The Future of Telehealth: Trends and Predictions for 2025 and Beyond

The Future of Telehealth: Trends and Predictions for 2025 and Beyond

by Ree AI Health Tech Med Tech

In 2020, the COVID-19 pandemic sparked a 78% uptick in telehealth usage. As we look to the future, telehealth is poised to become an integral part of healthcare delivery. 

This article explores the exciting innovations and trends that will shape the future of telehealth, promising to enhance patient care, improve accessibility, and streamline healthcare operations.

To understand the future of telehealth, we first need to look at the new technologies that are changing how we provide care.

Contents

Emerging Technologies in Telehealth

The future of telehealth is closely tied to advancements in technology. Several cutting-edge innovations are set to reshape virtual care in the coming years.

Artificial intelligence and machine learning in diagnostics

Phone with chatbot conversation

AI and machine learning (ML) can analyze large amounts of medical data to assist healthcare providers in making more accurate diagnoses and treatment recommendations.

For example, AI-powered diagnostic tools can examine medical images like X-rays or MRIs and flag potential issues for review by human doctors. 

AI chatbots are also being developed to conduct initial patient screenings and triage. These chatbots can ask patients about their symptoms and medical history, then direct them to appropriate care options whether that’s a virtual doctor visit, in-person visit, or emergency services.

Internet of Medical Things for remote patient monitoring

The Internet of Medical Things (IoMT) refers to connected medical devices and applications that can collect and transmit health data. This technology enables continuous remote monitoring of patients’ vital signs and other health metrics.

Some examples of IoMT devices include:

5G networks enabling real-time, high-quality video visits

The rollout of 5G networks dramatically improves the quality and reliability of video-based telehealth services. 5G offers much faster data speeds and lower latency compared to 4G networks.

In fact, 5G technology can reduce video latency to less than 2 milliseconds, enabling real-time interaction during virtual doctor visits comparable to in-person visits.

For telehealth, this means:

  • Higher-quality video and audio for virtual visits

  • The ability to transmit large medical files like MRIs quickly

  • More reliable connections in rural or remote areas

  • Support for bandwidth-intensive applications like augmented reality

Take a look at a diagram that shows how connected medical devices interoperate across different systems (Deloitte, 2021).

How connected medical devices interoperate across different systems
Source: Deloitte

Virtual and augmented reality applications in telemedicine

Virtual reality (VR) and augmented reality (AR) have exciting potential applications in telehealth:

For instance, a 2018 study in the Journal of Visualized Experiments found that VR-based physical therapy for stroke patients greatly improved upper limb function compared to conventional therapy (Choi & Paik, 2018).

While technology is important, telehealth’s real strength is in making specialized care available to more people.

Expanding Access to Specialized Care

One of telehealth’s greatest promises is improving access to specialized medical care, especially for underserved populations.

Telepsychiatry bridging the mental health treatment gap

Mental health care has long suffered from accessibility issues, with many areas facing severe shortages of psychiatrists and therapists. Telepsychiatry is helping to bridge this gap.

A 2016 study in the World Journal of Psychiatry found that telepsychiatry was as effective as in-person care for treating depression, with the added benefit of increased patient satisfaction and engagement (Hubley et al., 2016).

Telepsychiatry is particularly valuable for:

  • Rural communities with few local mental health providers

  • Patients with mobility issues or transportation barriers

  • People seeking specialized treatments not available locally

  • Those who prefer the privacy and convenience of at-home care

Remote visits with specialists for rural and underserved areas

Telehealth is bringing specialized medical expertise to areas that previously had little or no access. This includes:

  • Remote dermatology visits using high-resolution images

  • Virtual neurology assessments for stroke patients

  • Tele-oncology services for cancer patients in rural areas

School-based telehealth programs improving pediatric care

School-based telehealth programs are emerging as a powerful tool for improving children’s health, especially in underserved communities. These programs typically involve:

Halterman et al (2017) found that school-based telehealth programs reduced emergency department visits and improved asthma outcomes for children in rural communities.

Virtual second opinions from leading medical experts

Telehealth is making it easier for patients to get second opinions from top specialists, regardless of geographic location. This can be particularly valuable for complex or rare conditions.

Several major medical centers now offer formal virtual second opinion programs. For example, the Mayo Clinic’s eConsults program provides written second opinions from Mayo Clinic specialists based on a review of medical records and test results.

Telehealth is also changing how we approach personalized care and monitoring for patients.

Personalized Medicine and Remote Monitoring

The integration of telehealth with other digital health technologies is enabling more personalized and proactive care.

Wearable devices for continuous health tracking

Monitor attached to back of a woman's left shoulder

Wearable devices like smartwatches and fitness trackers are increasingly being used for medical monitoring. These devices can track:

  • Heart rate and rhythm

  • Blood oxygen levels

  • Sleep patterns

  • Physical activity levels

  • Stress indicators

This continuous data collection allows for more comprehensive health monitoring between doctor visits.

Monitoring services are poised to continue incredible growth over the next several years, as depicted in the following chart (Gupta, 2024).

Source: Appinventiv

AI-powered predictive analytics for early intervention

By analyzing data from wearables, electronic health records (EHRs), and other sources, AI algorithms can predict health risks and recommend early interventions.

Some applications can help clinicians to:

  • Predict heart attacks or strokes based on subtle changes in vital signs

  • Identify patients at risk of developing diabetes

  • Forecast mental health crises based on behavioral patterns

Genomics and telehealth integration for tailored treatments

genetic markers

The combination of telehealth and genomic medicine is opening up new possibilities for personalized treatment plans. Patients can now receive genetic counseling and testing remotely, with results informing tailored treatment recommendations.

For example, pharmacogenomic testing can help determine which medications are likely to be most effective for a particular patient based on their genetic profile. 

Remote medication management and adherence monitoring

Poor medication adherence is a major challenge in healthcare, contributing to worse health outcomes and increased costs. Telehealth-enabled medication management tools can help by:

  • Sending reminders to take medications

  • Tracking medication usage through smart pill bottles or ingestible sensors

  • Allowing remote adjustments to medication regimens

  • Providing education about medications and potential side effects

As telehealth grows, we need to update the rules and regulations that guide its use.

Regulatory Landscape and Telehealth Adoption

Law books and scales with plant and shield

The rapid growth of telehealth has prompted significant regulatory changes, with more likely to come as the technology continues to evolve.

Evolving reimbursement policies for virtual care

One of the biggest barriers to telehealth adoption has been inconsistent reimbursement policies. However, the COVID-19 pandemic led to significant policy changes:

  • Medicare expanded coverage for telehealth services.

  • Many private insurers increased telehealth coverage.

  • Some states mandated payment parity between in-person and virtual visits.

As we move forward, key questions include:

  • Will expanded telehealth coverage become permanent?

  • How will reimbursement rates for virtual care compare to in-person visits?

  • What types of telehealth services will be covered?

Data privacy and security considerations in telehealth

medical papers and stethoscope

The growth of telehealth raises important questions about patient data privacy and security. Key concerns include ways to:

  • Ensure secure transmission of sensitive medical information

  • Protect patient data stored in telehealth platforms

  • Maintain privacy during video visits

Healthcare providers and telehealth companies must comply with regulations like HIPAA in the U.S.

Licensing and cross-state practice regulations

Traditionally, healthcare providers have been limited to practicing in states where they hold a license. This poses challenges for telehealth, which can easily cross state lines.

Some recent developments include:

  • The Interstate Medical Licensure Compact, which streamlines licensing for doctors in multiple states

  • Temporary waivers of state licensing requirements during the COVID-19 pandemic

  • Proposals for a national telemedicine license

Global telehealth initiatives and international cooperation

People around a globe

Telehealth has the potential to improve healthcare access globally, particularly in developing countries with limited medical infrastructure.

Some notable international telehealth initiatives include:

  • The World Health Organization’s Global Strategy on Digital Health

  • The European Union’s eHealth Network

  • The African Alliance of Digital Health Networks

Even with its many benefits, telehealth faces challenges that we must tackle to make it work for everyone.

Overcoming Challenges in Telehealth Implementation

While telehealth offers tremendous potential, several challenges must be addressed to ensure its effective and equitable implementation.

Addressing the digital divide and ensuring equitable access

The “digital divide” the gap between those who have access to technology and those who don’t poses a significant challenge for telehealth adoption.

Key issues include:

  • Lack of broadband internet access in rural areas

  • Limited digital literacy among some patient populations

  • Affordability of devices needed for telehealth

Potential solutions include:

  • Government initiatives to expand broadband access

  • Programs to provide telehealth-enabled devices to underserved populations

  • Digital literacy training for patients

Training healthcare providers in virtual care best practices

Many healthcare providers lack formal training in delivering care via telehealth. This can lead to suboptimal patient experiences and outcomes.

Key areas for provider training include:

  • Effective communication in virtual settings

  • Conducting remote physical exams

  • Managing technical issues during visits

  • Ensuring patient privacy and data security

Integrating telehealth with existing healthcare systems

For telehealth to reach its full potential, it needs to be seamlessly integrated with existing healthcare systems and workflows. This includes:

  • Integrating telehealth platforms with EHRs

  • Developing protocols for when to use telehealth vs. in-person care

  • Ensuring continuity of care between virtual and in-person visits

  • Adapting billing and administrative processes for telehealth

Health providers are set to invest heavily in virtual health applications in the next 5 to 10 years, as shown in the following chart (Gupta, 2024).

Source: Appinventiv

Managing patient expectations and building trust in virtual care

For many patients, telehealth represents a significant shift in how they receive care. Building trust and managing expectations is crucial for successful adoption.

Key considerations include how to:

A recent Health Information National Trends Survey found that 70% of U.S. adults with recent telehealth visits used audio-video, and 75% felt their telehealth visits were as good as in-person care (Spaulding et al., 2024). 

Conclusion

As technology advances and adoption grows, we can expect more personalized, accessible, and efficient care. However, success will depend on addressing challenges such as the digital divide and regulatory hurdles. 

By embracing AI and other technological innovations, we can create a healthcare system that truly meets the needs of patients in the digital age. Patients, providers, and policymakers must work together to shape this exciting future of healthcare.

References

Choi, H., & Paik, J. (2018). Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation. Journal of Visualized Experiments: JoVE; (133). doi.org/10.3791/56241

Deloitte. (2021). Medtech and the Internet of Medical Things: How connected medical devices are transforming health care. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Life-Sciences-Health-Care/gx-lshc-medtech-iomt-brochure.pdf

General FAQs About the Compact. (n.d.). Interstate Medical Licensure Compact. Retrieved from https://www.imlcc.org/faqs/

Gupta, D. (2024). 7 Telemedicine Trends Shaping the Future of Healthcare. Appinventiv. Retrieved from https://appinventiv.com/blog/top-telehealth-trends/

Halterman, J. S., Tajon, R., Tremblay, P., Fagnano, M., Butz, A., Perry, T., & McConnochie, K. (2017). Development of School-Based Asthma Management Programs in Rochester, NY Presented in Honor of Dr. Robert Haggerty. Academic Pediatrics; 17(6), 595. doi.org/10.1016/j.acap.2017.04.008 

Hubley, S., Lynch, S. B., Schneck, C., Thomas, M., & Shore, J. (2016). Review of key telepsychiatry outcomes. World Journal of Psychiatry, 6(2), 269–282. doi.org/10.5498/wjp.v6.i2.269

Marley, R. (2021). 8 key trends driving the future of telehealth. Healthcare Transformers. Retrieved from https://healthcaretransformers.com/digital-health/current-trends/future-of-telehealth/

More care close to home. (2024). MayoClinic. Retrieved from https://www.mayoclinic.org/about-mayo-clinic/care-network/more-care-close-to-home

Spaulding, E. M., Fang, M., Chen, Y., Commodore-Mensah, Y., Himmelfarb, C. R., Martin, S. S., & Coresh, J. (2024). Satisfaction with Telehealth Care in the United States: Cross-Sectional Survey. Telemed J E Health. 2024 Jun;30(6):1549-1558. doi:10.1089/tmj.2023.0531

5 Best Remote Patient Monitoring Systems for Healthcare Providers

5 Best Remote Patient Monitoring Systems for Healthcare Providers

by Ree 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:

Healthsnap

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:

Optimize Health

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:

Athelas

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:

Health Recovery Solutions

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:

Accuhealth

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 

by Ree 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 Patient Monitoring: Improving Chronic Disease Management 

Remote Patient Monitoring: Improving Chronic Disease Management 

by Ree 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

Personalized Healthcare: The Role of AI in Precision Medicine

Personalized Healthcare: The Role of AI in Precision Medicine

by Ree AI Med Tech

Have you ever wondered how your unique genetic makeup, lifestyle, and environment influence your healthcare? 

Welcome to the world of AI in personalized medicine, also known as precision medicine, where AI is playing a pivotal role in tailoring treatments to individual patients. In this article, we’ll explore how AI is changing the way we approach individual patient care, from diagnosis to treatment and beyond.

Contents

What is Precision Medicine?

Precision medicine aims to provide tailored healthcare solutions based on an individual’s genetic, environmental, and lifestyle factors. 

Understanding AI in Precision Medicine

3 researchers in a lab smiling

AI enhances personalized healthcare approaches by analyzing vast amounts of data to identify patterns and make predictions. It’s like having a super-smart assistant that can process information much faster and more accurately than humans. 

Subsets of AI driving changes in healthcare

The key technologies driving AI in healthcare include:

  • Machine learning: Algorithms that learn from data and improve over time
  • Deep learning: A subset of machine learning that uses neural networks to mimic human brain function
  • Natural language processing: The ability of computers to understand and interpret human language

These technologies work together to process complex medical data, leading to more accurate diagnoses and personalized treatment plans.

AI-Powered Diagnostics and Disease Prediction

One of the most exciting applications of AI in precision medicine is its ability to improve diagnostics and predict diseases. Here’s how.

Early detection of diseases

AI algorithms can analyze patient data to find subtle signs of diseases before they become apparent to human doctors. For example, researchers have developed AI models that can detect early signs of Alzheimer’s disease up to six years before a clinical diagnosis (Grassi et al., 2018).

Medical imaging analysis

MRI machine with brain scans on the side

AI is particularly adept at analyzing medical images like X-rays, MRIs, and CT scans. In some cases, AI algorithms have shown higher accuracy than human radiologists in detecting certain conditions. A study published in Nature found that an AI system outperformed human experts in breast cancer detection, reducing both false positives and false negatives (McKinney et al., 2020).

Predictive models for disease risk assessment

By analyzing a patient’s genetic data, lifestyle factors, and medical history, AI can create predictive models to assess an individual’s risk for various diseases. This allows healthcare providers to implement preventive measures and early interventions.

Tailoring Treatment Plans with AI

AI isn’t just helping with diagnostics; it’s also revolutionizing how we approach treatment. 

AI-assisted drug discovery and development

AI is accelerating the drug discovery process by:

  • Analyzing molecular structures to predict potential drug candidates
  • Simulating drug interactions to identify potential side effects
  • Optimizing clinical trial designs for faster and more efficient testing

Personalized treatment recommendations

Female doctor showing her elderly female patient a tablet

AI algorithms can analyze a patient’s unique characteristics to recommend the most effective treatment options. This includes considering factors like:

  • Genetic profile
  • Medical history
  • Lifestyle factors
  • Environmental influences

Optimizing dosages and reducing adverse drug reactions

AI can help determine the optimal drug dosage for each patient, considering factors like age, weight, kidney function, and potential drug interactions. This personalized approach can significantly reduce the risk of adverse drug reactions.

Genomics and AI: A Powerful Combination

The integration of AI and genomics is opening up new frontiers in personalized medicine. Here’s how.

AI in genomic sequencing and analysis

AI algorithms can quickly analyze large amounts of genomic data, finding patterns and variations that might be missed by human researchers. This accelerates our understanding of genetic factors in disease development and treatment response.

Identifying genetic markers for personalized treatment

genetic markers

By analyzing genetic data, AI can identify specific markers associated with disease risk or treatment response. This information helps healthcare providers customize treatments to a patient’s genetic profile.

Predicting drug responses based on genetic profiles

AI models can predict how a patient might respond to specific medications based on their genetic makeup. This approach, known as pharmacogenomics, helps doctors choose the most effective drugs with the least potential for side effects.

AI in Patient Monitoring and Care Management

AI is also changing how we monitor and manage patient health.

glucose monitor on arm with phone app showing glucose level

Real-time health monitoring using wearable devices and AI

Wearable devices combined with AI algorithms can continuously monitor vital signs and alert healthcare providers to potential issues. For example, AI-powered smartwatches can detect irregular heart rhythms and notify users of potential heart problems (Perez et al., 2019).

Personalized lifestyle and wellness recommendations

AI can analyze data from wearables, along with other patient information, to provide personalized recommendations for diet, exercise, and other lifestyle factors that impact health.

AI virtual health assistants and chatbots

Virtual health assistants and chatbots can provide 24/7 support to patients, answering questions, reminding them to take medications, and even conducting initial symptom assessments.

Challenges and Ethical Considerations

While AI in precision medicine offers tremendous potential, it also presents several challenges. 

Equitable access to precision medicine

There’s a risk that AI-driven precision medicine can make healthcare disparities worse if it’s not accessible to all populations. Accessible healthcare should be a priority in health systems to ensure these technologies are available to everyone, regardless of socioeconomic status.

For example, a Google Health project tested an AI system for diabetic retinopathy screening in Thailand (Johnson et al., 2021). Despite high accuracy in lab tests, the system faced challenges in actual clinics, such as poor image quality, slow internet, and patient travel issues. This shows the importance of testing AI in real clinical environments and improving systems based on user feedback. However, getting this feedback in healthcare can be time-consuming and expensive. Researchers are exploring alternatives like creating fake data or using simulations to develop better AI systems for healthcare.

Bias in AI algorithms

AI algorithms can inadvertently perpetuate biases present in training data. It’s crucial to develop diverse datasets and implement checks to ensure AI systems provide fair and equitable recommendations across all patient populations.

Data privacy and security concerns

As AI relies on vast amounts of personal health data, ensuring the privacy and security of this information is paramount. Healthcare providers and technology companies must implement robust safeguards to protect patient data.

As AI continues to advance, expect to see more exciting changes we can personalize healthcare.

  • Integration of multi-omics data (genomics, proteomics, metabolomics) for more comprehensive patient profiles
  • Advanced natural language processing for better interpretation of medical literature and clinical notes
  • Quantum computing applications in drug discovery and genomic analysis

Integration of AI in medical education and practice

Hands turning a page in anatomy book

As AI becomes more prevalent in healthcare, medical education will need to evolve to ensure healthcare professionals are equipped to work with AI systems effectively. Healthcare professionals, technologists, and policymakers must collaborate to harness the full potential of AI in precision medicine, ensuring that AI advancements benefit all patients.

Potential impact on healthcare systems and patient outcomes

AI has the potential to:

  • Improve diagnostic accuracy and speed
  • Reduce healthcare costs through more efficient resource allocation of clinical staff
  • Enhance patient outcomes through personalized treatment plans

AI is reshaping precision medicine by providing data-driven insights and tailored treatment plans. While challenges remain, the potential benefits for patient outcomes are limitless. From more accurate diagnostics to custom treatment plans, AI is empowering healthcare providers to deliver truly individualized care that can dramatically improve our quality of life. 

As we continue to refine and expand the ways we use AI in healthcare, we move closer to a future where truly personalized medicine is the norm rather than the exception.

References

Grassi, M., Loewenstein, D. A., Caldirola, D., Schruers, K., Duara, R., & Perna, G. (2018). A clinically-translatable machine learning algorithm for the prediction of Alzheimer’s disease conversion: further evidence of its accuracy via a transfer learning approach. International Psychogeriatrics, 30(11), 1755-1763.

Johnson K.B., Wei W.Q., Weeraratne D., Frisse M.E., Misulis K., Rhee K., Zhao J., & Snowdon J.L. (2021). Precision Medicine, AI, and the Future of Personalized Health Care. Clinical and Translational Sciences; 14(1):86-93. doi: 10.1111/cts.12884

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.

Perez, M. V., Mahaffey, K. W., Hedlin, H., Rumsfeld, J. S., Garcia, A., Ferris, T., … & Turakhia, M. P. (2019). Large-scale assessment of a smartwatch to identify atrial fibrillation. New England Journal of Medicine, 381(20), 1909-1917.