Where cost was studied, AI-generated virtual patients showed savings from obviating faculty time and human standardized patients, but cost evaluation remains sparse and none reached Kirkpatrick level 4¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Only several studies evaluated cost; where cost was compared with existing teaching methods, savings arose from obviating faculty time and labour and human standardized patients. → Fang Eric Kin Meng 2026

Evidence¶

Fang Eric Kin Meng 2026¶

Fang Eric Kin Meng, Boon Yuru, Ho Jin Yang, Tey Natasha, Low Matthew Jian Wen. (2026). Artificial intelligence generated virtual patients in health professions education: a scoping review. BMC Medical Education. https://doi.org/10.1186/s12909-026-10028-w

q2 · i? · review · r2

Synthesis of cost outcomes from a small subset of included studies (five evaluating cost directly, two considering it indirectly); the review reports "cost savings were found from obviating costs from time and labour of faculty members and human standardized patients" in LLM-era studies.

"Where cost was compared to existing teaching methods, cost savings were found from obviating costs from time and labour of faculty members and human standardized patients"

Discussion¶

Related Claims¶

• Outcome evaluation of AI-generated virtual patients in HPE is concentrated at Kirkpatrick level 1, with no studies reporting level 3 or 4 outcomes — related
• Controlled GenAI virtual-patient and communication studies reported short-term skill gains, but positive findings were not universal — related
• No included SDL studies measured Kirkpatrick Level 4 (patient/system) outcomes — related
• Fewer studies assessed Kirkpatrick level 3 behaviour and level 4 patient outcomes, and higher‐level feature combinations remain unclear — related