An Electronic Health Record Algorithm's Performance to Identify Cognitive Impairment in Primary Care
Optimization of an EHR algorithm to detect cognitive impairment by combining cognitive impairment-related ICD-10 codes and dementia medications identified people with dementia or mild cognitive impairment in primary care with high specificity and acceptable sensitivity, although ICD-10 codes remained nonspecific.
Authors
- Winfred Frazier (ORCID: https://orcid.org/0000-0003-3373-0918)
- Christine E. Kistler (ORCID: https://orcid.org/0000-0003-0566-5741)
- Feng‐Chang Lin (ORCID: https://orcid.org/0000-0002-2638-1775)
- Laura C. Hanson (ORCID: https://orcid.org/0000-0001-5120-6058)
- Yumei Yang (ORCID: https://orcid.org/0000-0002-7554-1050)
- Molly E. Lynch
Institutions
- University of North Carolina at Chapel Hill (US)
- University of Pittsburgh (US)
Publication Details
- Journal
- Journal of the American Medical Directors Association
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1016/j.jamda.2025.105949
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00