Predicting Preoperative Consultation Clinician Time Using Machine Learning and Electronic Health Record Audit Log Data.

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Bibliographic Details
Title: Predicting Preoperative Consultation Clinician Time Using Machine Learning and Electronic Health Record Audit Log Data.
Authors: Le ST; Kaiser Permanente Division of Research, Pleasanton, California., Lawson B; Kaiser Permanente Division of Research, Pleasanton, California., Lu Y; Kaiser Permanente Division of Research, Pleasanton, California., Gochi AM; University of California San Francisco, San Francisco, California., Kipnis P; Kaiser Permanente Division of Research, Pleasanton, California., Cohn BR; Kaiser Permanente Division of Research, Pleasanton, California., Liu VX; Kaiser Permanente Division of Research, Pleasanton, California.
Source: Anesthesiology [Anesthesiology] 2026 Mar 01; Vol. 144 (3), pp. 724-727. Date of Electronic Publication: 2026 Jan 07.
Publication Type: Journal Article
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 1300217 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1175 (Electronic) Linking ISSN: 00033022 NLM ISO Abbreviation: Anesthesiology Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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