Claims

Feedback in AI-VP training shows a differential corrective effect for learners with low baseline empathy

Claim · All claims
Evidence · 1 study · review r3 · q3
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.

q3 i? In Sarli et al.'s RCT, initially low-empathy clinicians showed significant improvement at follow-up while emotional reactivity itself did not change. → Gilbert Valentin 2026

Evidence

Gilbert Valentin 2026

Gilbert Valentin, Philip Pierre, Llorca Pierre-Michel, Samalin Ludovic. (2026). Use of artificial intelligence–enhanced virtual patients in educational approaches to medical interview training: a systematic review. BMC Medical Education. https://doi.org/10.1186/s12909-026-08804-9

q3 · i? · review · r3

Randomized controlled study of 64 clinicians (Sarli et al. 2024, MMAT 4/5) with immediate, personalized feedback conditionally triggered for clinicians with low baseline empathy. The review reports "initially low-empathy clinicians showed significant improvement at follow-up"; no effect size is printed.

"Although emotional reactivity itself did not change, initially low-empathy clinicians showed significant improvement at follow-up, highlighting a targeted "corrective" effect."

Discussion

Learner Variables

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generated by process:wiki-ingest on 2026-10-31
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