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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Quality improvement in neurology: dementia management quality measures (executive summary)
Germaine Odenheimer1, Soo Borson, Amy E Sanders
1Germaine Odenheimer, MD, is with the Department of Geriatric Medicine, University of Oklahoma College of Medicine, Oklahoma City Veterans Affairs Medical Center, Oklahoma City.
Abstract:
This article represents the efforts of an interdisciplinary work group, the Dementia Measures Work Group (DWG), composed of representatives of diverse national organizations who convened specifically to define optimal standards of dementia care for individual practitioners as well as multidisciplinary teams. The DWG measurement set includes all stages of dementia in a single measure set, calls for the use of functional staging in planning care, prompts the use of validated instruments in patient and caregiver assessment and intervention, highlights the relevance of using palliative care concepts to guide care prior to the advanced stages of illness, and provides evidence-based support for its recommendations and guidance on the selection of instruments for tracking patient-centered outcomes. In addition, it specifies annual reassessment and updating of interventions and care plans for dementia-related problems that affect families and other caregivers as well as patients.
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