ClinicalTrials.gg
RecruitingNCT07226934Updated Oct 8, 2026

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

An interventional study of GPT-QPL in Lymphoma and Multiple Myeloma, sponsored by Washington University School of Medicine. Recruiting at 1 site in United States. Open to participants aged 18 Years to 99 Years. Per ClinicalTrials.gov, last updated 2026-10-08.

Sponsored by Washington University School of Medicine · Not applicable, Interventional, and Health services research

From the registry’s dates

  • Started Dec 2025; still recruiting 10 months later.
Updated Oct 8, 2026Primary completion movedStudy completion movedGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
40
Allocation
Not applicable
Ages
18 Years to 99 Years
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 10 studies in Lymphoma by Washington University School of Medicine — 1 open to participants now, 2 under way, none of them phase 3. Lymphoma · Washington University School of Medicine.

Planned enrollment
5th of 10
40 · median 37
Started
2025
the only one that year
No phase
4 of 10
1 open now
Registered
10th of 10
by date

Among the 10 studies in Lymphoma by Washington University School of Medicine, this one is the 5th largest by planned enrollment, is the only one that started in 2025, is one of 4 with no phase, and was the 10th registered.

By phase

10 studies; the count open now beside each. This study's row is marked.

No phasethis study4 · 1 open
Phase 12 · 0 open
Phase 1/22 · 0 open
Phase 22 · 0 open

By the year they started

First in 1999; this study’s year is marked. 1 started in 2025.

Size and results

Median enrollment 37 across the 10 interventional studies. Of the 8 that completed or were terminated, 2 (25%) have results posted.

Watch this landscapeDownload CSVWith an account: a weekly mail of what changed among 10 studies in Lymphoma by Washington University School of Medicine, or all of them as a file.
02

Study summary

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.

03

Conditions studied

  • Lymphoma
  • Multiple Myeloma

Keywords

  • Generative Artificial Intelligence
  • Healthcare
  • Cancer
  • Communication
04

Who can participate

Ages eligible
18 Years to 99 Years
Sexes eligible
All
Accepts healthy volunteers
No

Eligibility criteria

Eligibility Criteria as determined by Electronic Health Record (EHR) Screening:

  • Documented diagnosis of lymphoma, as defined by ICD-10 codes C81-C88 or multiple myeloma, as defined by ICD codes C90.0-C90.02
  • Has a scheduled follow-up appointment at a participating outpatient oncology clinic within the next month. Participating clinics include:

    • Dr. David Russler-Germain: Outpatient Lymphoma Clinic
    • Dr. Michael Slade: Outpatient Multiple Myeloma Clinic
    • Dr. Dilan Patel: Outpatient Lymphoma Clinic
  • Undergoing infusion or injection-based systemic therapy intended to cure or manage the disease, as opposed to regimens delivered solely for palliative purposes, at a frequency of once every 1-4 weeks.

    • For eligible patients with lymphoma, this includes, but is not limited to, commonly prescribed treatment combinations such as R-CHOP (Rituximab, Cyclophosphamide, Doxorubicin/Hydroxydaunorubicin, Vincristine, and Prednisone) for Non-Hodgkin Lymphoma, or ABVD (Adriamycin/Doxorubicin, Bleomycin, Vinblastine, and Dacarbazine) for Hodgkin Lymphoma-both regimens that are frequently administered every three weeks
    • For patients with multiple myeloma, eligibility will include patients in the "induction" phase of chemotherapy treatment, which frequently requires patients to come in for outpatient appointments once every four weeks as well as patients in a maintenance phase of treatment that otherwise requires them to attend outpatient appointments at a frequency of every one to four weeks
  • Between the ages of 18-99 at enrollment (Patients older than 99 will be excluded so that the study team is able to elicit questions from WashU ChatGPT using a standardized prompt that describes the patient's age only as specifically as a 10-year decade range (i.e., "I am a patient in my 20's, 30's, 40's, etc. Patients who are 18 or 19 years old will be described in the following manner: "I am a young adult patient in my late teens").
  • Able to consent to medical care independently (does not have a legally authorized representative or documented diagnosis of cognitive impairment)

Eligibility Criteria as determined by subsequent recruitment phone call or In-person approach after a clinic appointment:

  • Does not have visual impairments or English literacy limitations that would interfere with ability to engage in an intervention that requires being able to read material on an electronic device and on paper and communicate aloud during appointments with health care providers, based on patient self-report
  • Able to use email (consent form will be distributed electronically through DocuSign and associated emails), based on successful completion of electronic
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
40 participants (estimated)

Study 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).

    Other: GPT-QPL

Interventions

  • OtherGPT-QPL

    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).

    Also known as: AI-Generated, Personalized Question Prompt List

06

What researchers measure

Primary outcomes

  1. Changes in communicative self-efficacy

    * Communicative self-efficacy is measured by Self-efficacy survey . * Dependent samples t-tests will be used to assess within-subject changes. * The Self-Efficacy survey consists of two scales containing 10 questions each, with answers ranging from 1=not successful to 5=very successful or 1=not confident to 5=very confident. The total score on each scale ranges from 10-50 with a higher score on Scale 1 (the PEPPI-5) representing higher self-efficacy related to communicating with physicians in general and a higher score on Scale 2 (researcher-designed questions based on Social Cognitive Theory) representing higher self-perceived success at communication with the physician during the immediately preceding appointment.

    Time frame: Appointment 1 (pre-intervention) and appointment 2 (post-intervention) (estimated to be 12 weeks)

Secondary outcomes

  1. Changes in perceived amount of cancer information received as measured by an abbreviated version the EORTC QLQ - INFO25

    * Dependent samples t-tests will be used to assess within-subject changes. * The abbreviated version of the EORTC QLQ-INFO 25 being used for this outcome consists of three scales containing a total of 13 questions ranging from 1=not at all to 4=very much. Raw scores are converted using linear transformations. The total score range for each scale is 0-100. A higher score on Scale 1 represents a higher perceived degree of information received about cancer diagnosis, a higher score on Scale 2 represents a higher perceived degree of information received about medical tests, and a higher score on Scale 3 represents a higher perceived degree of information received about cancer treatment.

    Time frame: Appointment 1 (pre-intervention) and appointment 2 (post-intervention) (estimated to be 12 weeks)

  2. Changes in satisfaction with cancer information received as measured by the EORTC QLQ - INFO25

    * Dependent samples t-tests will be used to assess within-subject changes. * An additional single item scale from the EORTC QLQ - INFO 25 will be used to measure satisfaction with cancer information received. The answer ranges from 1=not at all to 4=very much. The raw score is converted using the same linear transformation as other EORTC QLQ-INFO 25 scales. The total score range is 0-100, and a higher score represents higher satisfaction with cancer information received.

    Time frame: Appointment 1 (pre-intervention) and appointment 2 (post-intervention) (estimated to be 12 weeks)

  3. Changes in the number of questions asked during appointments

    * Number of questions asked is measured by audio recordings of the clinic appointments. * Dependent samples t-tests will be used to assess within-subject changes.

    Time frame: Appointment 1 (pre-intervention) and appointment 2 (post-intervention) (estimated to be 12 weeks)

  4. Changes in self-reported degree of intention to use AI chatbots for healthcare tasks

    * Self-reported degree of intention is measured by one-item AI Chatbot Use survey consisting of a 7-point Likert Scale question asking how frequently participants intend to use AI chatbots for healthcare tasks within the next month. The answer ranges from 1=Never to 7=Several times a day. The total score range is 1-7, and a higher score represents more frequent intended use of AI chatbots for healthcare tasks. * Dependent samples t-tests will be used to assess within-subject changes.

    Time frame: Appointment 1 (pre-intervention) and appointment 2 (post-intervention) (estimated to be 12 weeks)

07

Study locations

1 of 1 sites recruiting
  • Washington University School of Medicine
    St Louis, Missouri 63110, United States
    Recruiting
    • Jessica Hahne, MA, MPH · Contacthahne.j@wustl.edu · 314-935-6173
    • Jessica Hahne, MA, MPH · Principal investigator
    • Brian D Carpenter, Ph.D. · Sub investigator
08

References and documents

09

Updates

1 registry update since Sep 25, 2026
Primary completion
Aug 31, 2026→Dec 31, 2026
Oct 8, 2026
Study completion
Aug 31, 2026→Dec 31, 2026
Oct 8, 2026
Show all 1 update
  1. Oct 8, 2026
    Primary completion Aug 31, 2026→Dec 31, 2026
    Study completion Aug 31, 2026→Dec 31, 2026
    + 1 other change: verification date

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07226934
Responsible party
Sponsor
First posted
Nov 12, 2025
Start date
Dec 26, 2025
Primary completion
Dec 31, 2026 (estimated)
Completion
Dec 31, 2026 (estimated)
Last update
Oct 8, 2026

Study contacts

Jessica Hahne, MA, MPH
Contact
hahne.j@wustl.edu
314-935-6173
Jessica Hahne, MA, MPH
principal investigator · Washington University School of Medicine

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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