Use of an Electronic Medical Record Integrated Tool to Identify Patients at Highest Risk of Hypoglycemia
An electronic medical record-integrated hypoglycemia prediction tool can accurately identify patients at high risk for hypoglycemia in the next 24 hours. Use of a risk assessment tool can increase insulin dose adjustments in high-risk patients.
Authors
- Jeffrey M. Ketz
- Ashley R. Brant (ORCID: https://orcid.org/0000-0001-8383-549X)
- Marc Willner (ORCID: https://orcid.org/0000-0002-7579-3944)
- Molly Fenske (ORCID: https://orcid.org/0009-0006-7081-5506)
- Kara Eastman
Institutions
- Cleveland Clinic (US)
- Mayo Clinic (US)
Publication Details
- Journal
- AACE Endocrinology and Diabetes
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1016/j.aed.2025.10.002
- Primary Topic
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Type
- article
- Field-Weighted Citation Impact
- 0.00