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

Formative Evaluation of Digital Health Interventions (3399) Epublishing and Open Access (107) Fast-track articles (8)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69699, first published .
Transforming Patient Feedback Into Actionable Insights Through Natural Language Processing: Knowledge Discovery and Action Research Study

Transforming Patient Feedback Into Actionable Insights Through Natural Language Processing: Knowledge Discovery and Action Research Study

Transforming Patient Feedback Into Actionable Insights Through Natural Language Processing: Knowledge Discovery and Action Research Study

Authors of this article:

Ravi Shankar1 Author Orcid Image ;   Alexander Yip2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Shankar R, Devi F, Qian X. A systematic review of the application of computational grounded theory method in healthcare research. Biology Methods and Protocols 2025;10(1) View
  2. Joshi S, Mehta M, Maniar S, Wang M, Singh V. Performance of Large Language Models Under Input Variability in Health Care Applications: Dataset Development and Experimental Evaluation. JMIR AI 2026;5:e83640 View