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

Scoping Review Protocols (250) Machine Learning (2076) Patient-Reported Outcome Measures (PROMs) (372)

Published on in Vol 11, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36395, first published .
Combining Machine Learning, Patient-Reported Outcomes, and Value-Based Health Care: Protocol for Scoping Reviews

Combining Machine Learning, Patient-Reported Outcomes, and Value-Based Health Care: Protocol for Scoping Reviews

Combining Machine Learning, Patient-Reported Outcomes, and Value-Based Health Care: Protocol for Scoping Reviews

Authors of this article:

Tyler Raclin1 Author Orcid Image ;   Amy Price1 Author Orcid Image ;   Christopher Stave2 Author Orcid Image ;   Eugenia Lee3 Author Orcid Image ;   Biren Reddy3 Author Orcid Image ;   Junsung Kim3 Author Orcid Image ;   Larry Chu1 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

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  5. Barello S, Bergamaschi R, Provenzi L. Expanded perspectives: integrating clinicians’ insights for comprehensive patient-reported outcomes in value-based healthcare. International Journal for Quality in Health Care 2024;36(2) View
  6. Abedian S, Yesakov E, Ostrovskiy S, Hussein R. Streamlining wearable data integration for EHDS: a case study on advancing healthcare interoperability using Garmin devices and FHIR. Frontiers in Digital Health 2025;7 View
  7. Sharma J, Sidiq M. Ripple effect of human–AI interface in patient-reported outcome measures: shaping the future of motor relearning programs for fall prevention – letter to editor. European Journal of Physiotherapy 2025:1 View