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Gigascience|September 30, 2025
Foundation model of electronic medical records for adaptive risk estimationPawel Renc, Michal K Grzeszczyk, Nassim Oufattole, et al.
The New England Journal of Medicine|October 29, 2004
Effect of reducing interns' work hours on serious medical errors in intensive care unitsChristopher P Landrigan, Jeffrey M Rothschild, John W Cronin, et al.
NPJ Digital Medicine|March 29, 2025
A scoping review on generative AI and large language models in mitigating medication related harmJasmine Chiat Ling Ong, Michael Hao Chen, Ning Ng, et al.
JMIR Medical Informatics|June 6, 2024
A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation StudyTewodros Eguale, François Bastardot, Wenyu Song, et al.
Studies in Health Technology and Informatics|January 4, 2018
Methods for Detecting Malfunctions in Clinical Decision Support SystemsAdam Wright, Trang T Hickman, Dustin McEvoy, et al.
American Journal of Health-System Pharmacy : AJHP : Official Journal of the American Society of Health-System Pharmacists|March 25, 2017
Analysis of variations in the display of drug names in computerized prescriber-order-entry systemsArbor J L Quist, Thu-Trang T Hickman, Mary G Amato, et al.
Journal of the American Medical Informatics Association : JAMIA|March 23, 2016
The frequency of inappropriate nonformulary medication alert overrides in the inpatient settingQoua L Her, Mary G Amato, Diane L Seger, et al.
Journal of Critical Care|March 5, 2017
Evaluation of medication-related clinical decision support alert overrides in the intensive care unitAdrian Wong, Mary G Amato, Diane L Seger, et al.
Critical Care Medicine|August 13, 2005
The Critical Care Safety Study: The incidence and nature of adverse events and serious medical errors in intensive careJeffrey M Rothschild, Christopher P Landrigan, John W Cronin, et al.
Journal of the American Medical Informatics Association : JAMIA|February 28, 2006
E-Prescribing collaboration in Massachusetts: early experiences from regional prescribing projectsJohn Halamka, Meg Aranow, Carl Ascenzo, et al.
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