A Systems Approach to Reducing Medical Error
Author:
Affiliation:
1. Division of Pulmonary, Allergy, and Critical Care Medicine, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
Publisher
American Medical Association (AMA)
Subject
General Medicine
Link
https://jamanetwork.com/journals/jama/articlepdf/2807296/jama_oxman_2023_le_230051_1689628053.58308.pdf
Reference5 articles.
1. Misdiagnosis in the emergency department: time for a system solution.;Edlow;JAMA,2023
2. Machine learning algorithms for early sepsis detection in the emergency department: a retrospective study.;Kijpaisalratana;Int J Med Inform,2022
3. Computer protocol facilitates evidence-based care of sepsis in the surgical intensive care unit.;McKinley;J Trauma,2011
4. Kuye? I, Rhee? C. Overdiagnosis and Delay: Challenges in Sepsis Diagnosis. Agency for Healthcare Research and Quality. Published October 1, 2018. Accessed March 15, 2023. https://psnet.ahrq.gov/web-mm/spotlight-overdiagnosis-and-delay-challenges-sepsis-diagnosis
5. Fedyukova? A, Pires? D, Capurro? D. Quantifying machine learning-induced overdiagnosis in sepsis.? arXiv. Preprint posted online July 3, 2021. doi:10.48550/arXiv.2107.10399
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