Identifying Patient-Reported Care Experiences in Free-Text Survey Comments: Topic Modeling Study.

ABSTRACT:

Background

Patient-reported experience surveys allow administrators, clinicians, and researchers to quantify and improve health care by receiving feedback directly from patients. Existing research has focused primarily on quantitative analysis of survey items, but these measures may collect optional free-text comments. These comments can provide insights for health systems but may not be analyzed due to limited resources and the complexity of traditional textual analysis. However, advances in machine learning-based natural language processing provide opportunities to learn from this traditionally underused data source.

Objective

This study aimed to apply natural language processing to model topics found in free-text comments of patient-reported experience surveys.

Methods

SUBMITTER: Steele B 

PROVIDER: S-EPMC11875393 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature