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

mHealth in a Clinical Setting (653) Wearable Devices and Sensors (945) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1503)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35917, first published .
Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study

Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study

Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study

Authors of this article:

Robab Abdolkhani1, 2 Author Orcid Image ;   Kathleen Gray1 Author Orcid Image ;   Ann Borda3 Author Orcid Image ;   Ruth DeSouza4 Author Orcid Image
Article Authors Cited by (5) Tweetations (7) Metrics

Journals

  1. Sener T, Haenen W, Smits P, Hans G. Large-scale real-life implementation of technology-enabled care to maximize hospitals' medical surge preparedness during future infectious disease outbreaks and winter seasons: a viewpoint. Frontiers in Public Health 2023;11 View
  2. Becker M, Matt C. How individuals perceive and process diagnostic device errors. Journal of Decision Systems 2024:1 View
  3. Rajak S, Summaq A, Kumar M, Ghosh A, Elumalai K, Chinnadurai S. Revolutionizing Healthcare With 6G: A Deep Dive Into Smart, Connected Systems. IEEE Access 2024;12:194150 View
  4. Subramaniam T, Dearani J, Stulak J, Lahr B, Lee A, Miller J. A Randomized, Controlled Trial of In-Hospital Use of Virtual Reality to Reduce Preoperative Anxiety Prior to Cardiac Surgery. Mayo Clinic Proceedings 2025;100(2):220 View

Books/Policy Documents

  1. Thomas L, Telkar S. International Conference on Signal, Machines, Automation, and Algorithm. View