TRV-2026-1648Certified recordPeer-reviewed

Concept before capability - a validity-led approach to AI in OSCEs

Objective Structured Clinical Examinations (OSCEs) remain central to the assessment of clinical competence, yet the integration of artificial intelligence (AI) into assessment design, delivery, and scoring raises a fundamental question: what evidence of competence are OSCEs intended to generate? This paper argues that AI should be evaluated through the lens of OSCE validity, with particular attention to how it may strengthen or weaken the interpretive chain linking observed performance to assessment decisions. D…

Health · Problem Space — documented harm · certified 2026-10-17 · v1 · article view · machine-readable

Current reading — problem

Generative AI used in OSCE materials or scoring may gradually reward observable proxies instead of the clinical capabilities the exams are meant to assess, weakening the validity of high-stakes decisions.

What this doesn’t fix

The source is a conceptual, argument-based proposal that sets out a framework and principles; it presents no empirical results showing how the framework or AI tools perform in actual OSCEs.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-1648, v1: “Concept before capability - a validity-led approach to AI in OSCEs.” Truvace, 2026-10-17. /record/TRV-2026-1648 (accessed at citation time). sha256 f7b3dd84f28e3f1c…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

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