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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedYadgir SR, Engstrom C, Jacobsohn GC
Machine learning-assisted screening for cognitive impairment in the emergency department.
Researchers developed and evaluated an automated screening tool to identify a subset of patients at high risk for cognitive impairment (CI). Using the Blessed Orientation Memory Concentration (BOMC) test, administered in the emergency department, they found that an algorithm based on electronic health record data can define a subset of patients at higher risk for CI. They recommended that incorporating such an algorithm into a screening workflow could allow screening efforts and resources to be focused where they have the most impact.
AHRQ-funded; HS024558.
Citation: Yadgir SR, Engstrom C, Jacobsohn GC .
Machine learning-assisted screening for cognitive impairment in the emergency department.
J Am Geriatr Soc 2022 Mar;70(3):831-37. doi: 10.1111/jgs.17491..
Keywords: Neurological Disorders, Screening, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Elderly