On a weekly basis, after home visit, HCAs reported on participants' functional status using a smartphone application that recorded 25 functional items about each participant (e.g., ability to stand, move, eat, mood, loneliness). Predictive system using Machine learning techniques (i.e., leveraging random forest predictors) was developed and generated 7 to 14-day predictive alerts for the risk of ED visit to Nurses.~To elicit user feedback, surveys were administered to participating HCA and nurses.
Development of alert management system using social workers' observations and machine learning algorithms to predict 7-to-14-day alerts for the risk of Emergency Department (ED) Visit, organization, results as well as the satisfaction from user testing.~Multi-centric trial implementation of electronic Home Care Aides-reported outcomes measure system among patients, adults >= 75 years living at home and receiving assistance from home care aides (HCA) at 3 facilities.