In an RCT reviewed here, adding AI-generated feedback to a GenAI virtual patient improved medical students' clinical decision-making relative to simulation alone¶
Claim · All claims
Evidence · 1 study · reviewr3·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? The feedback group (AI simulation plus AI feedback) scored significantly higher overall than the conversation-only control group, particularly in creating context and gathering information. → Jiang Juming 2026
Evidence¶
Jiang Juming 2026¶
Jiang Juming, Ye Megan Zichen, Kwok Tyrone Tai-On, Wong Janet Yuen Ha. (2026). GenAI-Supported Virtual Patients in Health Care Education: Systematic Review. Journal of Medical Internet Research. https://doi.org/10.2196/82756
q2 · i? · review · r3
RCT reported in the review's Table 3 (control n=11, feedback n=10, 4 sessions of 6 minutes) comparing AI simulation only with AI simulation plus AI feedback; the review reports the feedback group "scored significantly higher overall". No effect size is printed.
"By the end, the feedback group scored significantly higher overall, particularly in creating context and gathering information during clinical decision-making."
Discussion¶
Learner Variables¶
- Problem Solving — outcome: instruction changes it
Related Claims¶
- Clearest LLM-teaching signals appear in settings with clearly defined tasks, immediate feedback, and repeated practice, such as simulated patients and structured feedback — a broader claim this one bears on
- Multi-agent AI standardized patient training improved final OSCE-aligned examination scores compared with a structured non-LLM control condition — related
- Controlled GenAI virtual-patient and communication studies reported short-term skill gains, but positive findings were not universal — a broader claim this one bears on
- AI-generated virtual patients in HPE are used mainly for teaching and learning communication skills, diagnostic reasoning and management reasoning, with assessment a minority use case — related
- Simulation complemented by other techniques improves patient safety competency more than simulation alone, but added classroom teaching did not improve teamwork attitudes — related
- Performance feedback supported skill accuracy and was equally effective when provided by an educator as by automated means in a virtual simulation — related
- In an RCT reviewed by this study, an LLM-based digital patient improved ophthalmology medical history-taking skills relative to control — related
- Near-peer feedback improved clinical note scores compared to no feedback in one included study — related
- Software-based platforms generally improve examination scores, diagnostic accuracy, and decision-making performance — a broader claim this one bears on
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| Field | Value |
|---|---|
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review |
generated |
by process:wiki-ingest on 2026-10-31 |
trust |
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