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Simulated Patient and AI-based Roleplay for History-taking (SPAR-H)

Z

zhen wang

Status

Completed

Conditions

Medical Education
History-taking Training
GPT

Treatments

Behavioral: GPT-simulated patients
Behavioral: traditional role-playing

Study type

Interventional

Funder types

Other

Identifiers

NCT06766383
2023jyxm1150 (Other Grant/Funding Number)
GPT for history-taking Trainin

Details and patient eligibility

About

The goal of this clinical trial is to evaluate whether AI-based simulated patient training can improve clinical reasoning and history-taking skills in medical students. The main questions it aims to answer is:

Does GPT-based simulated patient training improve medical students' history-taking skills compared to traditional role-playing methods?

Participants will:

Participants in the intervention group perform medical history-taking conversations with an AI-simulated patient. Receive AI-generated structured feedback on their performance. The control group participated in role-playing exercises with instructors who acted as patients, receiving feedback after each session. Complete standardized assessments to evaluate clinical reasoning and decision-making skills.

Enrollment

56 patients

Sex

All

Volunteers

Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:Medical education enrollment:

Students enrolled in a medical or health-related professional program.

Clinical coursework completion:

Students who have completed basic clinical coursework, including foundational topics in patient communication and clinical reasoning.

Age group:

Participants aged 18-30 years to reflect typical medical student demographics.

Language proficiency:

Adequate proficiency in the language used for the study (e.g., English) to effectively interact with the AI-simulated patient and understand feedback.

Willingness and availability:

Students who provide informed consent and are willing to participate in all required study activities, including training sessions and assessments.

Access to technology:

Ability to access and use the necessary technology, such as a computer and internet connection, to complete the simulated patient interactions.

Exclusion Criteria:Non-medical background:

Students not enrolled in medical or related health professions programs. Students in early years of study who have not completed basic clinical coursework.

Technical limitations:

Inability to access or use the required technology (e.g., computer or online platforms).

Time constraints:

Inability to complete all required training and assessments within the study timeline.

Language barriers:

Insufficient proficiency in the language used for the study (e.g., English) to effectively communicate or understand the simulated patient interactions.

Health-related factors:

Conditions that may impair participation, such as significant hearing or vision impairment, or severe psychological conditions.

Prior participation in similar studies:

Students who have already participated in studies involving similar AI-based simulated patient training or feedback.

Trial design

Primary purpose

Other

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

56 participants in 2 patient groups

intervention group
Experimental group
Description:
using GPT-simulated patients
Treatment:
Behavioral: GPT-simulated patients
control group
Active Comparator group
Description:
using traditional role-playing
Treatment:
Behavioral: traditional role-playing

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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