Validating an Electronic Health Record Algorithm for Diabetes Screening Eligibility in the Emergency Department
Findings suggest that an electronic health record-based algorithm informed by the ADA guidelines is a valid tool for identifying patients presenting to the ED who are eligible for HbA1c testing and may be unaware of having prediabetes or diabetes. The ease of workflow integration and high yield of potentially undiagnosed diabetes and prediabetes makes the BPA algorithm an appealing method for diabetes screening within the ED.
Authors
- Brett Rydzon
- Yuval Eisenberg (ORCID: https://orcid.org/0000-0002-4274-7431)
- Brian Thomas Layden (ORCID: https://orcid.org/0000-0003-2176-5654)
- Mary H. Smart (ORCID: https://orcid.org/0000-0002-7303-6579)
- Amanda L. Kong (ORCID: https://orcid.org/0000-0003-1864-7104)
- Janet Lin (ORCID: https://orcid.org/0000-0002-4347-5060)
- Ruth Pobee (ORCID: https://orcid.org/0000-0001-7004-5843)
- A. Simon Pickard (ORCID: https://orcid.org/0000-0001-5645-7091)
- Chunfu Tang
- Kirstie K. Danielson (ORCID: https://orcid.org/0000-0002-9077-2092)
- A Maheswaran (ORCID: https://orcid.org/0000-0002-1720-0282)
- Lisa Kay Sharp (ORCID: https://orcid.org/0000-0002-7809-9042)
Institutions
- Illinois College (US)
- University of Illinois Chicago (US)
- University of Chicago (US)
- Neurobehavioral Systems (US)
- Jesse Brown VA Medical Center (US)
Publication Details
- Journal
- Western Journal of Emergency Medicine
- Published
- 2025-02-13
- DOI
- https://doi.org/10.5811/westjem.20548
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Veterans Affairs
- Office of Research and Development
- Novo Nordisk
- National Institutes of Health
- University of Illinois at Urbana-Champaign
- University of Illinois at Chicago