Increasing Dementia Detection in Health Care Systems: Learnings from Three Pragmatic Clinical Trials
2024
Increasing Dementia Detection in Health Care Systems
publication
Author Information
Author(s): Dublin Sascha, Barnes Deborah, Ling Shari
Primary Institution: Oxford University Press US
Hypothesis
Can innovative, low-cost approaches improve dementia detection in healthcare systems?
Conclusion
Early results suggest that various methods can enhance the detection of dementia among older adults.
Supporting Evidence
- The eRADAR study uses machine learning to identify high-risk individuals for dementia.
- The D Cubed Study tests an EHR-based algorithm and a patient-reported questionnaire.
- The Toolbox Detect study examines the use of cognitive screening tests via tablets.
Takeaway
This study looks at new ways to help doctors find out if older people have dementia, which can help them get better care.
Methodology
The study involved three clinical trials using different methods to detect dementia, including machine learning algorithms and cognitive screening tests.
Digital Object Identifier (DOI)
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