A positive spin: large language models can help directors evaluate programs through their patients' own words

Findings from the LLM-derived analysis provided rich and unexpected information, valuable to the program and the field of pain psychology by employing the set of patients' own words to guide program evaluation. Program directors may benefit from evaluating treatment outcomes on a broader scale such as this rather than focusing solely on improvements in disability. These insights would only be uncovered with open-ended data, and although potentially more insights could emerge with the help of a qualitative research team, ChatGPT offered an ergonomic solution.