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Updated: Jan 11, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
Published on: April 13, 2021
Using secure artificial intelligence agents integrated within the electronic medical record for the evaluation of
Guillermo Rodriguez-Nava1, Timothy Keyes2, Nerissa Ambers3
1Division of Infectious Diseases & Geographic Medicine, Stanford University School of Medicinehttps://ror.org/03mtd9a03, Stanford, CA, USA.
Abstract:
We evaluated large language model (LLM)-based agents integrated with the electronic medical record to assess blood culture appropriateness. While sensitivity was high, specificity remained low. Performance was shaped by prompt phrasing, sycophantic behavior, and semantic triggers, reflecting both the potential and limitations of LLMs in real-world clinical decision support.
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