Identifying healthcare needs with patient experience reviews using ChatGPT.

ABSTRACT:

Background

Valuable findings can be obtained through data mining in patients' online reviews. Also identifying healthcare needs from the patient's perspective can more accurately improve the quality of care and the experience of the visit. Thereby avoiding unnecessary waste of health care resources. The large language model (LLM) can be a promising tool due to research that demonstrates its outstanding performance and potential in directions such as data mining, healthcare management, and more.

Objective

We aim to propose a methodology to address this problem, specifically, the recent breakthrough of LLM can be leveraged for effectively understanding healthcare needs from patient experience reviews.

Methods

We used 504,198 reviews collected from a large online medical

SUBMITTER: Li J 

PROVIDER: S-EPMC11918364 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature