aceAI-supported first consultation preparation in oncology: a real-world clinical usability study
Abstract Large Language Models (LLMs) may support clinicians by facilitating information management, but their usability in real-world oncology practice remains understudied. This study evaluated the workflow performance of Artificial Intelligence-based First Consultation Preparation (AI-FCP), generating structured summaries from unstructured clinical documentation, co-created with end users. In a prospective single‑group pre‑post design, nine clinicians completed a person-level baseline, followed by 33 consulta…
Clinicians using AI-FCP to prepare for first oncology consultations reported lower perceived workload and some self-reported time savings per case.
The study is small and exploratory, with a single-group design and case numbers that varied by scheduling and enrollment, which the authors say may introduce survivorship bias. Generalizability is not established.
Evidence
- Peer-reviewednpj Digital Medicine2026-10-17
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Truvace Impact Record TRV-2026-1821, v1: “AI-supported first consultation preparation in oncology: a real-world clinical usability study.” Truvace, 2026-10-18. /record/TRV-2026-1821 (accessed at citation time). sha256 b8e4aa7fada578c3…
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