Performance of Large Language Models in Patient Complaint Resolution: Web-Based Cross-Sectional Survey.

ABSTRACT:

Background

Patient complaints are a perennial challenge faced by health care institutions globally, requiring extensive time and effort from health care workers. Despite these efforts, patient dissatisfaction remains high. Recent studies on the use of large language models (LLMs) such as the GPT models developed by OpenAI in the health care sector have shown great promise, with the ability to provide more detailed and empathetic responses as compared to physicians. LLMs could potentially be used in responding to patient complaints to improve patient satisfaction and complaint response time.

Objective

This study aims to evaluate the performance of LLMs in addressing patient complaints received by a tertiary health care institution, with the goal of enhancing patient satisfact

SUBMITTER: Yong LPX 

PROVIDER: S-EPMC11344182 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature