Identifying healthcare needs with patient experience reviews using ChatGPT
Combining ChatGPT with ABSA templates can achieve satisfactory results in analyzing patient reviews. As our work applies to other LLMs, we shed light on understanding the demands of patients and health consumers with novel models, which can contribute to the agenda of enhancing patient experience and better healthcare resource allocations effectively.
Authors
- D. Diane Zheng (ORCID: https://orcid.org/0000-0003-2913-2878)
- Yunchu Yang
- Dennis Wong (ORCID: https://orcid.org/0000-0001-5732-8443)
- Jiaxuan Li (ORCID: https://orcid.org/0000-0001-7647-6839)
- Patrick Cheong‐Iao Pang (ORCID: https://orcid.org/0000-0002-8820-5443)
- Rong Chen (ORCID: https://orcid.org/0000-0001-8647-3295)
- Yapeng Wang (ORCID: https://orcid.org/0000-0002-1085-5091)
- Charlene Lam (ORCID: https://orcid.org/0000-0002-1916-1184)
Institutions
- State University of New York (US)
- Sun Yat-sen University (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Macao Polytechnic University (MO)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1371/journal.pone.0313442
- Citations
- 12
- Primary Topic
- Healthcare cost, quality, practices
- Type
- article
- Field-Weighted Citation Impact
- 33.78
Funders
- Fundo para o Desenvolvimento das Ciências e da Tecnologia