The future of patient education: A study on AI-driven responses to urinary incontinence inquiries
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Date
2024
Authors
Rotem, Reut
Zamstein, Omri
Rottenstreich, Misgav
O'Sullivan, Orfhlaith E.
O'Reilly, Barry A.
Weintraub, Adi Y.
Journal Title
Journal ISSN
Volume Title
Publisher
John Wiley and Sons Inc
Published Version
Abstract
OBJECTIVE: To evaluate the effectiveness of ChatGPT in providing insights into common urinary incontinence concerns within urogynecology. By analyzing the model's responses against established benchmarks of accuracy, completeness, and safety, the study aimed to quantify its usefulness for informing patients and aiding healthcare providers. METHODS: An expert-driven questionnaire was developed, inviting urogynecologists worldwide to assess ChatGPT's answers to 10 carefully selected questions on urinary incontinence (UI). These assessments focused on the accuracy of the responses, their comprehensiveness, and whether they raised any safety issues. Subsequent statistical analyses determined the average consensus among experts and identified the proportion of responses receiving favorable evaluations (a score of 4 or higher). RESULTS: Of 50 urogynecologists that were approached worldwide, 37 responded, offering insights into ChatGPT's responses on UI. The overall feedback averaged a score of 4.0, indicating a positive acceptance. Accuracy scores averaged 3.9 with 71% rated favorably, whereas comprehensiveness scored slightly higher at 4 with 74% favorable ratings. Safety assessments also averaged 4 with 74% favorable responses. CONCLUSION: This investigation underlines ChatGPT's favorable performance across the evaluated domains of accuracy, comprehensiveness, and safety within the context of UI queries. However, despite this broadly positive reception, the study also signals a clear avenue for improvement, particularly in the precision of the provided information. Refining ChatGPT's accuracy and ensuring the delivery of more pinpointed responses are essential steps forward, aiming to bolster its utility as a comprehensive educational resource for patients and a supportive tool for healthcare practitioners. © 2024 The Author(s). International Journal of Gynecology & Obstetrics published by John Wiley & Sons Ltd on behalf of International Federation of Gynecology and Obstetrics.
Description
Keywords
Artificial intelligence‐generated responses , ChatGPT , Expert opinions , Quality evaluation , Urinary incontinence , Urogynecology
Citation
Rotem, R., Zamstein, O., Rottenstreich, M., O'Sullivan, O. E., O'Reilly, B. A. and Weintraub, A. Y. (2024) 'The future of patient education: a study on AI‐driven responses to urinary incontinence inquiries', International Journal of Gynecology & Obstetrics, 167(3), pp.1004-1009. https://doi.org/10.1002/ijgo.15751