Machine Learning to Enhance Electronic Detection of Diagnostic Errors
This cohort study examines whether machine learning (ML) can enhance the ability of electronic triggers to identify possible missed opportunities in diagnosis.
Authors
- Andrew J. Zimolzak (ORCID: https://orcid.org/0000-0003-0973-5639)
- Devika Subramanian (ORCID: https://orcid.org/0000-0002-4098-9517)
- Ashish Gupta (ORCID: https://orcid.org/0000-0003-4593-3261)
- Viralkumar Vaghani (ORCID: https://orcid.org/0000-0003-2492-0680)
- Hardeep Singh (ORCID: https://orcid.org/0000-0002-4419-8974)
- Usman Mir (ORCID: https://orcid.org/0009-0000-6827-9827)
- Li Wei
Institutions
- Michael E. DeBakey VA Medical Center (US)
- Baylor College of Medicine (US)
- Center for Innovation (US)
- Rice University (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1001/jamanetworkopen.2024.31982
- Citations
- 10
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 5.03