The State of Remote Patient Monitoring for Chronic Disease Management in the United States

Remote patient monitoring (RPM) increased exponentially during the COVID-19 pandemic. RPM programs commonly incorporate tools to capture and transmit health-relevant data from the home to the clinical space to augment the clinical decision-making process of health care providers. Given the potential to improve patient health outcomes, health care systems around the world are actively engaged in fashioning, implementing, and exploring the outcomes of various RPM program models. However, new challenges to health care systems include increasing RPM program enrollment, optimizing condition-specific RPM programs to best address the needs of specific patient groups, integrating new RPM-derived data streams into existing IT infrastructure, overcoming limited availability of desired remote monitoring technologies, and quantifying the health outcomes produced by RPM use. Herein, we identify stakeholders for RPM in the United States, summarize the landscape of RPM tools available for chronic disease management, discuss the current regulatory environment, delve into the benefits and challenges of integrating these tools into clinical practice, summarize aspects of coverage and reimbursement, and examine the knowledge and policy gaps regarding sustained use of RPM in clinical practice, along with associated opportunities.

Authors

Institutions

Publication Details

Journal
Journal of Medical Internet Research
Published
2025-04-04
DOI
https://doi.org/10.2196/70422
Citations
8
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
Field-Weighted Citation Impact
15.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The State of Remote Patient Monitoring for Chronic Disease Management in the United States

Margaret M. Paul, Blanca Lizaola‐Mayo, Musab S. Hommos, Nandita Khera et al.
8 citations
Journal of Medical Internet Research
Telemedicine and Telehealth Implementation
15.03
article

The State of Remote Patient Monitoring for Chronic Disease Management in the United States

Margaret M. Paul, Blanca Lizaola‐Mayo, Musab S. Hommos, Nandita Khera, Sandhya Nagarakanti, Vivek Nagaraja, Ashley L. Garrett, ­Mahesh Seetharam, M. Kaur, Nathan L. Delafield, Molly M. Kresin, Praneetha R. Elugunti, Kevin C. Ruff, Leslie F. Thomas, Mari Pantoja-Smith
article en
8 citations

Abstract

Remote patient monitoring (RPM) increased exponentially during the COVID-19 pandemic. RPM programs commonly incorporate tools to capture and transmit health-relevant data from the home to the clinical space to augment the clinical decision-making process of health care providers. Given the potential to improve patient health outcomes, health care systems around the world are actively engaged in fashioning, implementing, and exploring the outcomes of various RPM program models. However, new challenges to health care systems include increasing RPM program enrollment, optimizing condition-specific RPM programs to best address the needs of specific patient groups, integrating new RPM-derived data streams into existing IT infrastructure, overcoming limited availability of desired remote monitoring technologies, and quantifying the health outcomes produced by RPM use. Herein, we identify stakeholders for RPM in the United States, summarize the landscape of RPM tools available for chronic disease management, discuss the current regulatory environment, delve into the benefits and challenges of integrating these tools into clinical practice, summarize aspects of coverage and reimbursement, and examine the knowledge and policy gaps regarding sustained use of RPM in clinical practice, along with associated opportunities.

Journal of Medical Internet ResearchVol. 27
Mayo Clinic Hospital (US)
Good health and well-being
Openalex Percentile: Top 1%
Telemedicine and Telehealth Implementation
15.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.