HBI Solutions Blog Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm

Falls in our elder population are a major cause of injury, hospitalization and mortality worldwide, and a major source of medical costs. Current risk screening and assessment methods are often manual, include a limited number of intrinsic factors, exclude environmental factors and/or lack discriminatory capabilities that a robust machine-learned model can provide. See how machine learning can provide better discrimination for intervention and prevention.