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Applications of Machine Learning to Improve Healthcare Delivery for Older Adults

On October 15-16, 2020, the National Institute on Aging (NIA) Division of Behavioral and Social Research (BSR) convened a panel of subject matter experts to assess the landscape of machine learning applications and provide insight into key research gaps and opportunities for applying machine learning approaches to improve health care delivery for older adults. Panelists highlighted key opportunities to employ machine learning to improve dementia care, optimize electronic health record (EHR) functionality, and address health care disparities. In addition, panelists highlighted the need for high-quality well-labeled datasets. Comprehensive annotated datasets are critical to address fundamental challenges associated with machine learning, such as detecting and removing bias, integrating distributed data, and generating accurate predictive algorithms. Finally, panelists considered ethical and regulatory issues associated with the use of predictive algorithms, in particular for vulnerable populations such as older adults and individuals living with dementia, and emphasized the need for a multi-disciplinary approach to implementing machine learning in health care.

The workshop report (PDF, 601K) is available.