A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation.

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Bibliographic Details
Title: A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation.
Authors: Amrollahi F; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA., Marshall N; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Haredasht FN; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA., Black KC; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Zahedivash A; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Maddali MV; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Ma SP; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Chang A; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Deresinski SC; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Goldstein MK; Department of Health Policy, Stanford University School of Medicine, Stanford, CA, USA., Asch SM; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Banaei N; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA., Chen JH; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Source: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2025 May 22; Vol. 2024, pp. 147-156. Date of Electronic Publication: 2025 May 22 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: American Medical Informatics Association Country of Publication: United States NLM ID: 101209213 Publication Model: eCollection Cited Medium: Internet ISSN: 1942-597X (Electronic) Linking ISSN: 15594076 NLM ISO Abbreviation: AMIA Annu Symp Proc Subsets: MEDLINE
Database: MEDLINE Ultimate
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