Conversational AI Study

Stanford University

Status: Not yet enrolling

Conditions: Medical Education

Treatments: Other: Conversational Artificial Intelligence Simulations

Study type: Interventional

Funder types: Other

Identifiers

NCT06459479

75964

Details and patient eligibility

About

This is a prospective, collaborative, mixed-methods study which includes anesthesiology trainees receiving one active intervention - a conversational artificial intelligence (CAI) simulation. The goal is to explore the capability of AI to provide high-fidelity simulations that can ultimately improve how healthcare professionals handle difficult conversations such as disclosing medical errors or mistakes.

Enrollment: 20 estimated patients

Sex: All

Ages: 18 to 18 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Hospital providers, including nurses, physician assistants, physicians, physician trainees, and other healthcare workers at Lucile Packard Children's Hospital (LPCH) and affiliated facilities who communicate with patients daily will be included

Exclusion criteria

• Participants with reported severe motion sickness
• Nausea
• Seizure disorder
• Currently using chronotropic heart medications, such as β blockers

Trial design

Primary purpose: Supportive Care

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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20 participants in 1 patient group

AI Group

Experimental group

Description:

Participant will be using OpenAI's ChatGPT4o's application. For the purposes of this medical error scenario, the CAI will have a standardized prompt to simulate an upset parent whose child recently had surgery in which there was a medical error involving a tooth injury from an intubation. Following a scripted briefing, simulation will be initiated.

Treatment:

Other: Conversational Artificial Intelligence Simulations