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

Early Results in Infodemiology and Infoveillance (104) Data Science (357) Artificial Intelligence (2129) Machine Learning (2076) Natural Language Processing (917) Big Data (307) Health Care Quality and Health Services Research (337) Generative Language Models Including ChatGPT (708) Patient-Clinician Relationship (33) New Methods (1134)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69075, first published .
Analyzing Patient Complaints in Web-Based Reviews of Private Hospitals in Selangor, Malaysia, Using Large Language Model–Assisted Content Analysis: Mixed Methods Study

Analyzing Patient Complaints in Web-Based Reviews of Private Hospitals in Selangor, Malaysia, Using Large Language Model–Assisted Content Analysis: Mixed Methods Study

Analyzing Patient Complaints in Web-Based Reviews of Private Hospitals in Selangor, Malaysia, Using Large Language Model–Assisted Content Analysis: Mixed Methods Study

Authors of this article:

Muhammad Hafiz Sulaiman1, 2 Author Orcid Image ;   Nora Muda1 Author Orcid Image ;   Fatimah Abdul Razak1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Muhammad Hafiz Sulaiman   1, 2 * , MD, MS ;   Nora Muda   1 * , PhD ;   Fatimah Abdul Razak   1 * , PhD

1 Department of Mathematical Sciences, Faculty of Science and Technology, National University of Malaysia, Bangi, Malaysia

2 Quality Unit, Clinical Management Section, Hospital Sultan Idris Shah, Serdang, Malaysia

*all authors contributed equally

Corresponding Author:

  • Muhammad Hafiz Sulaiman, MD, MS
  • Department of Mathematical Sciences
  • Faculty of Science and Technology
  • National University of Malaysia
  • Lingkungan Ilmu
  • Bangi 43600
  • Malaysia
  • Phone: 60 197763962
  • Email: hafizmuar@gmail.com