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The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health Services: Scoping Review

The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health Services: Scoping Review

Lin et al [27] applied topic modeling to web-based reviews of dental care, finding that higher ratings were associated with female dentists, dentists at a younger age, and those whose patients experienced a short wait time. They also identified several topics that corresponded to Consumer Assessment of Healthcare Providers and Systems (CAHPS) measures [73], including discomfort (eg, painful or painless root canal or deep cleaning) and ethics (eg, high-pressure sales and unnecessary dental work) [27].

Ali Feizollah, Chiu-Yi Lin, Lucy O'Malley, Wendy Thompson, Stefan Listl, Matthew Byrne

J Med Internet Res 2025;27:e72853