An AI-Generated, Personalized Question Prompt List Intervention for Patients With Hematologic Cancers

Part of paid clinical trials in St Louis, Missouri.

Sponsor
Washington University School of Medicine
Study ID
NCT07226934
Status
Recruiting
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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 99 Years
Healthy Volunteers
Not accepted

Interventions

  • GPT-QPL — OTHER
    A research team member will generate a QPL that is personalized to the patient's demographics (from EHR screening and Baseline Demographic Survey) and concerns (from Distress Thermometer Problem Checklist and Interview).

Study Details

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.

Key Dates

Start date
Dec 26, 2025
Status verified
May 2026
Primary completion
Aug 31, 2026
Completion
Aug 31, 2026

Study Design

Enrollment
40 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
HEALTH_SERVICES_RESEARCH

Arms

  • Experimental: GPT-QPL: An AI-Generated, Personalized Question Prompt List
    Participants will complete surveys at appointment 1 (pre-intervention) and after being provided the AI-Generated, Personalized Question Prompt List at appointment 2 (post-intervention).

Primary Outcome Measure

Changes in communicative self-efficacy [ Time Frame: Appointment 1 (pre-intervention) and appointment 2 (post-intervention) (estimated to be 12 weeks) ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Washington University School of MedicineSt LouisMissouri63110
Jessica Hahne, MA, MPH
[email protected]
314-935-6173
Jessica Hahne, MA, MPH (PRINCIPAL_INVESTIGATOR)
Brian D Carpenter, Ph.D. (SUB_INVESTIGATOR)

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