Large language model (LLM)-based clinical assistants are increasingly being integrated into electronic health record (EHR) systems, transforming how clinicians retrieve and synthesize information from patient records. Their safety and utility depend on rigorous evaluation, yet existing benchmarks are manually curated,...
J. Cahoon, C. Stanwyck, Sulaiman Somani et al.· 0 citations
Large language model (LLM)-based clinical assistants are increasingly being integrated into electronic health record (EHR) systems, transforming how clinicians retrieve and synthesize information from patient records. Their safety and utility depend on rigorous evaluation, yet existing benchmarks are manually curated,...
J. Cahoon, C. Stanwyck, Sulaiman Somani et al.· 0 citations
This work proposes a practical framework for assessing privacy risk in clinical foundation models and illustrates realistic leakage scenarios across deployment settings, map them to legal regimes, and outline complementary technical and legal mitigations.
Sana Tonekaboni, Lena Stempfle, Sasha Ronaghi et al.· 0 citations
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