Medical education Clinical skills training Education, Medical Artificial Intelligence
Conditions
Interventions
The intervention group received instruction using AI-powered virtual standardized patients integrated from the Geeky Medics educational platform. The virtual patient cases were designed, updated, and
Experimental Behavioral,Active Comparator Behavioral
AI-powered Virtual Standardized Patient (AI-VSP),Conventional Standardized Patient (SP)
Sponsors
Duy Tan University
Eligibility
Sex/Gender
All
Age
18 Years to 60 Years
Inclusion criteria
Inclusion criteria: 1. Undergraduate medical students (Third year). 2. Voluntary participation. 3. Provided informed consent.
Exclusion criteria
Exclusion criteria: 1. Prior use of AI-virtual patient platforms for history-taking training. 2. Declined participation. 3. Incomplete data in pre-test, post-test, or objective structured clinical examination assessment.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Objective structured clinical examination score 1 month after the intervention 10 point scale | — |
Secondary
| Measure | Time frame |
|---|---|
| Student satisfaction Immediately after the intervention A five-point Likert scale questionnaire | — |
Countries
Vietnam
Contacts
Public ContactHai Dang
DUY TAN UNIVERSITY
Outcome results
None listed