This paper is in the following e-collection/theme issue:

Research Letter (3) mHealth for Telemedicine and Homecare (399) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46046, first published .
Uptake of Remote Physiologic Monitoring in the US Medicare Program: A Serial Cross-sectional Analysis

Uptake of Remote Physiologic Monitoring in the US Medicare Program: A Serial Cross-sectional Analysis

Uptake of Remote Physiologic Monitoring in the US Medicare Program: A Serial Cross-sectional Analysis

Authors of this article:

Jeffrey R Curtis1 Author Orcid Image ;   James Willig2 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Ferstad J, Prahalad P, Maahs D, Zaharieva D, Fox E, Desai M, Johari R, Scheinker D. Smart Start — Designing Powerful Clinical Trials Using Pilot Study Data. NEJM Evidence 2024;3(2) View
  2. Venuturupalli S, Peck A, Jinka Y, Fortune N, Davuluri N, Nowell W, Gavigan K, Cush J, Soares N, Grainger R, Curtis J. Home‐Based Telemedicine in Rheumatology—A Scoping Review. ACR Open Rheumatology 2024;6(5):312 View
  3. Mannion M, Xie F, FitzGerald J, Alexander A, Mudano A, Su Y, Saag K, Curtis J. Changes in the Workforce Characteristics of Providers Who Care for Adult Patients With Rheumatologic and Musculoskeletal Disease in the United States. Arthritis & Rheumatology 2024;76(7):1153 View
  4. Berneshawi A, Shue A, Chang R. Glaucoma Home Self-Testing Using VR Visual Fields and Rebound Tonometry Versus In-Clinic Perimetry and Goldmann Applanation Tonometry: A Pilot Study. Translational Vision Science & Technology 2024;13(8):7 View