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

Digital Health Reviews (1835) Clinical Informatics (1454) Infodemiology and Infoveillance (1604) Natural Language Processing (965) Health Care Quality and Health Services Research (361) Machine Learning (2252) Patient-Reported Outcome Measures (PROMs) (394) Artificial Intelligence (2377)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72853, first published .
The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health Services: Scoping Review

The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health Services: Scoping Review

The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health Services: Scoping Review

Authors of this article:

Ali Feizollah1 Author Orcid Image ;   Chiu-Yi Lin1 Author Orcid Image ;   Lucy O'Malley1 Author Orcid Image ;   Wendy Thompson1 Author Orcid Image ;   Stefan Listl2 Author Orcid Image ;   Matthew Byrne1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Muda N, Sulaiman M. Adapting quality function deployment to translate patient feedback into prioritized technical requirements for healthcare artificial intelligence. Scientific Reports 2026;16(1) View
  2. Kalabikhina I, Kolotusha A, Moshkin V. Hybrid Approach to Patient Review Classification at Scale: From Expert Annotations to Production-Ready Machine Learning Models for Sustainable Healthcare. Big Data and Cognitive Computing 2026;10(4):114 View

Conference Proceedings

  1. Prasanna P, Vishnu Priya B, Srinu N. 2025 6th International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). Resume AI Suite: An Integrated NLP Framework for ATS-Optimized Scoring and Semantic Job Recommendation View