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Published on: December 6, 2024
Clinical warrant in medical LLM evaluation
1Institute for Optimization and Data Analysis (IODA), Bern University of Applied Sciences, Bern, Switzerland.
Abstract:
Medical large language models are evaluated through factuality, physician preference, source support, retrieval quality, safety, and clinical utility. These measures describe content and performance while leaving unresolved whether a generated claim meets the requirements for a specified clinical use. This article proposes clinical warrant as a use-specific judgment for a particular output-use pair. Clinical use includes reliance within a patient-related encounter, task, or care pathway, including education that can shape understanding or later action. The proposed use and the standards used to judge it are documented separately. For action-guiding outputs, clinical appropriateness is a gateway. Five further conditions examine role, case information, evidence, preserved limits, and authority/accountability. The framework asks whether these requirements are met at the point of proposed reliance, records failed or unresolved conditions and the resulting disposition, and tests whether a relevant change stops or redirects use. Fifteen constructed examples across five domains distinguish established, not established, and indeterminate warrant.
