MedEasy¶
Product or Programme · All products and programmes
Evidence · 5 claims (5 for) · 2 studies (1 causal, 1 qualitative),q2–q3· 1 of 2 report an effect size · 5 claims rest on one study
Description¶
MedEasy is a web-based multi-agent virtual standardized-patient platform developed by Zhiqi Gao et al. for practicing clinical consultation, clinical actions, documentation, and post-session review.
Components¶
Claims¶
- Formative participants preferred post-session debriefing over in-session interruption, with timing treated as contingent on error severity [+W]
- Multi-agent AI standardized patient training improved final OSCE-aligned examination scores compared with a structured non-LLM control condition [+W]
- A formative study with 12 clinical-year medical students produced four design-oriented themes for AI-SP consultation practice [+W]
- In an evaluative study, medical learners interpreted MedEasy as a connected consultation environment and used its components together to judge case coherence [+W]
- Learners valued repeatable practice and recorded review in MedEasy while questioning missing actions and feedback criteria [+W]
Related Products and Programmes¶
-
Key Sources¶
- Zhiqi Gao, Huarui Luo, Guo Zhu, Bingquan Zhang, Dongyijie Primo Pan, Yizhan Feng, Jiahuan Pei, Jie Li, Benyou Wang. (2026). MedEasy: Designing AI Standardized Patients for Clinical Consultation Training. arXiv. https://arxiv.org/abs/2606.17512
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
medeasy |
title |
MedEasy |
description |
MedEasy is a web-based multi-agent virtual standardized-patient platform developed by Zhiqi Gao et al. |
status |
review |
product_kind |
software |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.