TY - JOUR
T1 - Connected Health Technology for Cardiovascular Disease Prevention and Management
AU - Wongvibulsin, Shannon
AU - Martin, Seth S.
AU - Steinhubl, Steven R.
AU - Muse, Evan D.
N1 - Funding Information:
Shannon Wongvibulsin is supported by the Johns Hopkins School of Medicine Medical Scientist Training Program (National Institutes of Health: Institutional Predoctoral Training Grant - T32), National Institutes of Health: Ruth L. Kirschstein Individual Predoctoral NRSA for MD/PhD: F30 Training Grant, and the Johns Hopkins Individualized Health (inHealth) Initiative. Evan D. Muse and Steven R. Steinhubl are supported by the NCATS/NIH of The Scripps Research Institute (UL1TR002550).
Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/6/1
Y1 - 2019/6/1
N2 - Purpose of the review: Advances in computing power and wireless technologies have reshaped our approach to patient monitoring. Medical grade sensors and apps that were once restricted to hospitals and specialized clinic are now widely available. Here, we review the current evidence supporting the use of connected health technologies for the prevention and management of cardiovascular disease in an effort to highlight gaps and future opportunities for innovation. Recent findings: Initial studies in connected health for cardiovascular disease prevention and management focused primarily on activity tracking and blood pressure monitoring but have since expanded to include a full panoply of novel sensors and pioneering smartphone apps with targeted interventions in diet, lipid management and risk assessment, smoking cessation, cardiac rehabilitation, heart failure, and arrhythmias. While outfitting patients with sensors and devices alone is infrequently a lasting solution, monitoring programs that include personalized insights based on patient-level data are more likely to lead to improved outcomes. Advances in this space have been driven by patients and researchers while healthcare systems remain slow to fully integrate and adequately adapt these new technologies into their workflows. Summary: Cardiovascular disease prevention and management continue to be key focus areas for clinicians and researchers in the connected health space. Exciting progress has been made though studies continue to suffer from small sample size and limited follow-up. Efforts that combine home patient monitoring, engagement, and personalized feedback are the most promising. Ultimately, combining patient-level ambulatory sensor data, electronic health records, and genomics using machine learning analytics will bring precision medicine closer to reality.
AB - Purpose of the review: Advances in computing power and wireless technologies have reshaped our approach to patient monitoring. Medical grade sensors and apps that were once restricted to hospitals and specialized clinic are now widely available. Here, we review the current evidence supporting the use of connected health technologies for the prevention and management of cardiovascular disease in an effort to highlight gaps and future opportunities for innovation. Recent findings: Initial studies in connected health for cardiovascular disease prevention and management focused primarily on activity tracking and blood pressure monitoring but have since expanded to include a full panoply of novel sensors and pioneering smartphone apps with targeted interventions in diet, lipid management and risk assessment, smoking cessation, cardiac rehabilitation, heart failure, and arrhythmias. While outfitting patients with sensors and devices alone is infrequently a lasting solution, monitoring programs that include personalized insights based on patient-level data are more likely to lead to improved outcomes. Advances in this space have been driven by patients and researchers while healthcare systems remain slow to fully integrate and adequately adapt these new technologies into their workflows. Summary: Cardiovascular disease prevention and management continue to be key focus areas for clinicians and researchers in the connected health space. Exciting progress has been made though studies continue to suffer from small sample size and limited follow-up. Efforts that combine home patient monitoring, engagement, and personalized feedback are the most promising. Ultimately, combining patient-level ambulatory sensor data, electronic health records, and genomics using machine learning analytics will bring precision medicine closer to reality.
KW - Digital medicine
KW - Innovation
KW - Mobile health
UR - http://www.scopus.com/inward/record.url?scp=85066016184&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066016184&partnerID=8YFLogxK
U2 - 10.1007/s11936-019-0729-0
DO - 10.1007/s11936-019-0729-0
M3 - Review article
C2 - 31104157
AN - SCOPUS:85066016184
SN - 1092-8464
VL - 21
JO - Current Treatment Options in Cardiovascular Medicine
JF - Current Treatment Options in Cardiovascular Medicine
IS - 6
M1 - 29
ER -