Clinical trial NCT06766383: Simulated Patient and AI-based Roleplay for History-taking
Official title: Feasibility Study of Using GPT for History-taking Training in Medical Education
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: History-taking Training
GPT
Medical Education
Keywords: History-taking Training
Artificial Intelligence
Medical Education
GPT Simulation
Lead sponsor: The Second Hospital of Anhui Medical University
Sponsor class: OTHER
First posted: 2025-01-09
Enrollment: 56
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: OTHER

Brief summary: 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.


Eligibility 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.

-

Primary outcomes:
measure: structured clinical examination to measure students' abilities in history taking
timeFrame: From enrollment to the end of treatment at 4 weeks
Secondary outcomes:
measure: Training Feedback Assessment
timeFrame: From enrollment to the end of treatment at 4 weeks
measure: Student Satisfaction Survey
timeFrame: From enrollment to the end of treatment at 4 weeks
Other outcomes:
Locations:
city: Hefei
country: China
facility: The Second Affiliated Hospital of Anhui Medical University
state: Anhui
Study officials:
References: