Finished
AI-generated Feedback in Social Robotic Virtual Patients
NCT07277829 · Ioannis Parodis · Updated 11 Dec 2025
- What is being tested
- AI post consultation feedback
- For
- Virtual Patient; Social Robots; Artificial Intelligence (AI); Large Language Model; Feedback; Medical History Taking
- Kind of study
- Tests a treatment or device on volunteers. No drug phase (a device or procedure study).
- Who can join
- Ages Not stated. About 115 people. The full rules are on the registry page.
- Where
- Sweden
- When
- Starts or started 27 Jan 2025, ends 5 June 2025. Registered 11 Dec 2025.
- Results
- None posted yet.
In the researchers' words
The goal of this quasi-experimental educational study is to learn whether AI-generated post-consultation feedback in social robotic virtual patient interactions improves medical students' clinical performance in medical history-taking. The main question it aims to answer is: Can AI-generated feedback integrated in an AI-enhanced social robotic virtual patient platform improve medical students' clinical performance in medical history taking? Researchers will compare results from standardised examinations following the structure of an objective structured clinical examination (OSCE), of medical students performing virtual patient interactions with AI-generated post consultation feedback compared to medical students who have not received AI-generated feedback. Participants will perform five virtual patient cases in rheumatology using an established virtual patient platform: the Social AI-enhanced Robotic Interface (SARI). After completion of each case, students participate in follow-up seminars with consultant rheumatologists to discuss the cases. After completion of all nine cases, students take part in a OSCE based examination to evaluate medical-history taking.
Sites
- Karolinska University HospitalStockholm, Solna, Sweden
