KnowBench: Evaluating clinical AI with effort reduction
Researchers have introduced KnowBench, a new benchmark for clinical AI that uses Effort Reduction as a unified metric to measure the proportion of system-generated work accepted by clinicians. The benchmark is designed to be deployment-grounded, ensuring that evaluations reflect real-world burden reduction rather than mere similarity to reference artifacts. Initial results from a production environment show that Knowtex's clinical foundation models achieved an aggregate Effort Reduction of 97.99% across over one million signed encounters.
- ▪KnowBench defines Effort Reduction as the proportion of clinical work product accepted by the responsible clinician under expert and safety review.
- ▪The benchmark applies this metric consistently across various administrative tasks, including visit notes, diagnosis codes, and clinical decision support.
- ▪An initial measurement reported an aggregate Effort Reduction of 97.99% based on over one million signed encounters across thirteen medical specialties.
- ▪The paper provides a reporting protocol to ensure that Effort Reduction claims are auditable and comparable across different clinical AI systems.
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| Original publisher | arXiv.org |
| Canonical URL | https://arxiv.org/abs/2609.15794 |
| Publication time | Tue, 15 Sep 2026 06:52:44 +0000 |
| Retrieval time | 2026-09-15T06:56:51.660Z |
| Last seen | 2026-09-15T06:56:51.660Z |
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Computer Science > Artificial Intelligence arXiv:2609.15794 (cs) [Submitted on 14 Sep 2026] Title:KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI Authors:Jocelyn Kang, Caroline Zhang View a PDF of the paper titled KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI, by Jocelyn Kang and Caroline Zhang View PDF HTML (experimental) Abstract:Clinical AI systems are evaluated with instruments built for research settings (reference-based similarity metrics and expert rubric panels) that measure resemblance to an artifact rather than reduction of a burden.
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