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Using Machine Learning to Improve Readmission Prediction in Alzheimer’s Disease and Related Dementia

The specific research aims for this proposal are to (1) develop and validate a risk-assessment tool for predicting readmission among ADRD patients; (2) examine the feasibility/acceptability and clinical/economic utility of the readmission risk- assessment tool; and (3) develop a natural language processing (NLP) algorithm to extract information on caregiver availability from unstructured EHRs (exploratory). We hypothesize that the predictive power of our risk tool will be at least 20% higher than that of LACE Index (the current risk tool used in the Michigan Medicine hospitals).