Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions

Background Due to the adoption of electronic health records (EHRs) and legislation on meaningful use in recent decades, health systems are increasingly interdependent on EHR capabilities, offerings, and innovations to better capture patient data. A novel capability offered by health systems encompasses the integration between EHRs and wearable health technology. Although wearables have the potential to transform patient care, issues such as concerns with patient privacy, system interoperability, and patient data overload pose a challenge to the adoption of wearables by providers. Objective This study aimed to review the landscape of wearable health technology and data integration to provider EHRs, specifically Epic, because of its prevalence among health systems. The objectives of the study were to (1) identify the current innovations and new directions in the field across start-ups, health systems, and insurance companies and (2) understand the associated challenges to inform future wearable health technology projects at other health organizations. Methods We used a scoping process to survey existing efforts through Epic’s Web-based hub and discussion forum, UserWeb, and on the general Web, PubMed, and Google Scholar. We contacted Epic, because of their position as the largest commercial EHR system, for information on published client work in the integration of patient-collected data. Results from our searches had to meet criteria such as publication date and matching relevant search terms. Results Numerous health institutions have started to integrate device data into patient portals. We identified the following 10 start-up organizations that have developed, or are in the process of developing, technology to enhance wearable health technology and enable EHR integration for health systems: Overlap, Royal Philips, Vivify Health, Validic, Doximity Dialer, Xealth, Redox, Conversa, Human API, and Glooko. We reported sample start-up partnerships with a total of 16 health systems in addressing challenges of the meaningful use of device data and streamlining provider workflows. We also found 4 insurance companies that encourage the growth and uptake of wearables through health tracking and incentive programs: Oscar Health, United Healthcare, Humana, and John Hancock. Conclusions The future design and development of digital technology in this space will rely on continued analysis of best practices, pain points, and potential solutions to mitigate existing challenges. Although this study does not provide a full comprehensive catalog of all wearable health technology initiatives, it is representative of trends and implications for the integration of patient data into the EHR. Our work serves as an initial foundation to provide resources on implementation and workflows around wearable health technology for organizations across the health care industry.

[1]  Jim Atherton,et al.  Development of the electronic health record. , 2011, The virtual mentor : VM.

[2]  Joshua C. Mandel,et al.  Driving Innovation in Health Systems through an Apps-Based Information Economy. , 2015, Cell systems.

[3]  N. Terry,et al.  Liability for Mobile Health and Wearable Technologies , 2016 .

[4]  Quinn Grundy,et al.  Tracing the Potential Flow of Consumer Data: A Network Analysis of Prominent Health and Fitness Apps , 2017, Journal of medical Internet research.

[5]  B. Childs HIMSS (Healthcare Information and Management Systems Society) brings attention to the latest healthcare technology. , 1990, Healthcare informatics : the business magazine for information and communication systems.

[6]  Gary B. Smith,et al.  Health technology assessment review: Remote monitoring of vital signs - current status and future challenges , 2010, Critical care.

[7]  Saleem Sayani,et al.  Using Mobile Health (mHealth) Technology in the Management of Diabetes Mellitus, Physical Inactivity, and Smoking , 2017, Current Atherosclerosis Reports.

[8]  Jad S. Mubaslat,et al.  Electronic Health Records and Evidence-Based Practice: Solving the Little-Data Problem , 2018, Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care.

[9]  Natalie Pearson,et al.  Devices for Self-Monitoring Sedentary Time or Physical Activity: A Scoping Review , 2016, Journal of medical Internet research.

[10]  Tobias Dehling,et al.  Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android , 2015, JMIR mHealth and uHealth.

[11]  M. Liedtke,et al.  Effect of Fitbit and iPad Wearable Technology in Health-Related Quality of Life in Adolescent and Young Adult Cancer Patients. , 2018, Journal of adolescent and young adult oncology.

[12]  S. Sastry,et al.  Security and Privacy Issues with Health Care Information Technology , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  Jianchu Yao,et al.  A wearable point-of-care system for home use that incorporates plug-and-play and wireless standards , 2005, IEEE Transactions on Information Technology in Biomedicine.

[14]  Martin F. Cohen,et al.  Impact of the HITECH financial incentives on EHR adoption in small, physician-owned practices , 2016, Int. J. Medical Informatics.

[15]  Syagnik Banerjee,et al.  Wearable devices and healthcare: Data sharing and privacy , 2018, Inf. Soc..

[16]  M. Levin-Epstein The US Department of Health and Human Services Awards Grants to Protect Against Cybersecurity Threats , 2017 .

[17]  Maria Lindén,et al.  A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption , 2017, Journal of Medical Systems.

[18]  T. Hastie,et al.  Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort , 2016, bioRxiv.

[19]  Nicholas Genes,et al.  From smartphone to EHR: a case report on integrating patient-generated health data , 2018, npj Digital Medicine.

[20]  Vivek Verma,et al.  Interoperable End-to-End Remote Patient Monitoring Platform Based on IEEE 11073 PHD and ZigBee Health Care Profile , 2018, IEEE Transactions on Biomedical Engineering.

[21]  Malcolm Clarke,et al.  Exploring a New Security Framework for Remote Patient Monitoring Devices , 2017, Comput..

[22]  S. Kachnowski,et al.  The Impact of Wearable Device Enabled Health Initiative on Physical Activity and Sleep , 2016, Cureus.

[23]  Peter Kerkhof,et al.  Using feedback through digital technology to disrupt and change habitual behavior: A critical review of current literature , 2016, Comput. Hum. Behav..

[24]  Douglas S. Bell,et al.  Primary care provider adherence to an alert for intensification of diabetes blood pressure medications before and after the addition of a “chart closure” hard stop , 2018, J. Am. Medical Informatics Assoc..

[25]  J White,et al.  Electronic health records and patient safety: co-occurrence of early EHR implementation with patient safety practices in primary care settings. , 2015, Applied clinical informatics.

[26]  Tamar Sharon Self-Tracking for Health and the Quantified Self: Re-Articulating Autonomy, Solidarity, and Authenticity in an Age of Personalized Healthcare , 2017 .

[27]  B. B. Zaidan,et al.  Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology , 2018, Journal of Medical Systems.

[28]  B. Bogen,et al.  The impact of wearable motion sensing technology on physical activity in older adults , 2018, Experimental Gerontology.

[29]  V. Gay,et al.  Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability , 2015, Journal of medical Internet research.

[30]  D. Koo,et al.  HIPAA privacy rule and public health; guidance from CDC and the U.S. Department of Health and Human Services , 2003 .

[31]  The Value of Medical Device Interoperability Improving patient care with more than $ 30 billion in annual health care savings , 2013 .