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Digital Health Reviews (3645) Clinical Informatics (2247) Infodemiology and Infoveillance (2000) Natural Language Processing (1270) Health Care Quality and Health Services Research (528) Machine Learning (3147) Patient-Reported Outcome Measures (PROMs) (473) Artificial Intelligence (4735)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72853, first published .
Diagram showing NLP analyzing data, customer feedback, and health metrics.

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 (12) 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
  3. Kalabikhina I, Kolotusha A, Moshkin V. How Different Medical Practices Are Associated with Types of Patient Complaints in Russian Clinics. Healthcare 2026;14(8):1027 View
  4. Bilalpur M, Hamm M, Lee Y, Norman N, Mctigue K, Wang Y. Topic-Aware Summarization of Lived Health Care Experiences: Large Language Model Evaluation Study. JMIR Medical Informatics 2026;14:e85960 View
  5. Gazquez-Garcia J, Sánchez-Bocanegra C, Fernandez-Llatas C. Public Perception of Health Care Before, During, and After COVID-19: Longitudinal Analysis of Online Reviews. Journal of Medical Internet Research 2026;28:e96824 View
  6. Huang Y, Agarwal S. Natural language processing to enhance rheumatoid arthritis care in clinical studies: a scoping review of applications, data, approaches, challenges and future directions. Rheumatology International 2026;46(7) View
  7. Szplit D, Czyżewski A, Graff B, Szyndler A, Pałczyński P, Siemiński M, Glaner N, Stefaniak T, Bogdan J, Słomińska K, Dąbkowska A, Budzisz M, Zielonka M, Cieślak D, Zaporowski S, Kotus J, Narkiewicz K. Developing an AI platform for voice-input medical records in Polish: a digital application for optimisation of physicians’ workload. Scientific Reports 2026;16(1) View
  8. Bolter J, Papakonstantinou T, Bondaronek P. User-Reported Issues With Mental Health Apps: Machine-Assisted Topic Analysis of Social Media Posts. JMIR mHealth and uHealth 2026;14:e85575 View

Books/Policy Documents

  1. Joshi A, Akkasaligar P. Smart Trends in Computing and Communications. 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
  2. N D, R L, P P, S L, Yasaswini N, K J. 2026 Fourth International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). HSDAA: An Adaptive Hybrid VADER-DistilBERT Framework for Domain-Aware Sentiment Analysis of Telemedicine Feedback View
  3. Santos D, Cunha A, Penna G, Coelho F, Ferreira C, Torres L. Anais Estendidos do XXVI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2026). Mining Discursive and Interactional Signals in Public Teleconsultation Platforms: A Deep Learning Approach to Referral Conduct Analysis View