Actively Recruiting

Phase Not Applicable
Age: 18Years +
All Genders
Healthy Volunteers
NCT07069504

Comparing AI Role-Play and Peer Role-Play for Informed Consent Training in Endoscopy: A Randomized Control Trial

Led by The Hospital for Sick Children · Updated on 2025-07-16

40

Participants Needed

1

Research Sites

78 weeks

Total Duration

On this page

Sponsors

T

The Hospital for Sick Children

Lead Sponsor

U

University of Toronto

Collaborating Sponsor

AI-Summary

What this Trial Is About

The goal of this randomized controlled trial is to find out whether AI-based role play is effective in teaching healthcare trainees how to obtain informed consent from patients for endoscopic procedures. The main question is: • How does generative AI-based role play compare to traditional peer role play in training healthcare trainees to deliver informed consent for endoscopic procedures? Researchers will compare AI-based role play with peer role play to see which method is more effective for teaching this skill. What participants will do: * Attend a lecture on how to obtain informed consent. * Take part in simulation-based training using either peer role play or AI-based role play. * Participate in a simulated clinical encounter to assess their ability to obtain informed consent.

CONDITIONS

Official Title

Comparing AI Role-Play and Peer Role-Play for Informed Consent Training in Endoscopy: A Randomized Control Trial

Who Can Participate

Age: 18Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Physician trainee enrolled at the University of Toronto
Not Eligible

You will not qualify if you...

  • Have previously obtained informed consent for an endoscopic procedure 25 or more times in either real clinical or simulated settings

AI-Screening

AI-Powered Screening

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Trial Site Locations

Total: 1 location

1

Scarborough Health Network, University of Toronto

Toronto, Ontario, Canada, M5G 0A4

Actively Recruiting

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How is the study designed?

Study Type

INTERVENTIONAL

Masking

SINGLE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

OTHER

Number of Arms

2

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