Background: Although 88% of inpatients with falls do not sustain injuries, those with fall-related injuries experience limitations in activities of daily living, residual disabilities, and additional medical costs. Therefore, predicting fall-related injuries is crucial. We previously developed a prediction model for fall-related injuries, the Saga Fall Injury Risk Model (SFIRM), in an acute care hospital [...]

Background: Adverse events (AEs) after discharge occur in 19–28% of hospitalized patients.(1) Understanding whether patient-reported and clinical factors from the electronic health record (EHR) can predict post-discharge AEs is increasingly important given the growing population of hospitalized adults with multiple chronic conditions (MCC) being discharged home. This AHRQ-funded study aimed to develop an interoperable prediction [...]