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Feasibility and Preliminary Efficacy of GPT-QPL: An AI-Generated, Personalized Question Prompt List Intervention for Patients With Hematologic Cancers
The goal of this study is to evaluate the feasibility and preliminary efficacy of an artificial intelligence (AI)-generated personalized question prompt list (a list of suggested questions to ask during outpatient appointments) for patients with hematologic cancers. The intervention will involve tailoring a standardized prompt to patients' individual characteristics and concerns. This prompt will then be used to ask Washington University's (WashU) HIPAA compliant ChatGPT to generate personalized question lists for outpatient appointments. Analyses will assess the impact of personalized QPLs on patients' question-asking behavior; communicative self-efficacy; and self-reported amount and satisfaction with information obtained about their disease and its treatment. Sub-analyses will explore patterns in questions generated by WashU ChatGPT. Patients will also provide feedback pertaining to the perceived helpfulness and ease-of-use of WashU-ChatGPT-generated question lists, as well as their attitudes and intentions regarding use of AI chatbots and whether they would engage in pre-appointment AI-assisted question brainstorming independently in the future.
Age
20 - 99 years
Sex
ALL
Healthy Volunteers
No
Washington University School of Medicine
St Louis, Missouri, United States
Start Date
December 26, 2025
Primary Completion Date
April 30, 2026
Completion Date
April 30, 2026
Last Updated
January 8, 2026
40
ESTIMATED participants
GPT-QPL
OTHER
Lead Sponsor
Washington University School of Medicine
NCT06337318
NCT05139017
Data Source & Attribution
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