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Using An Automated Model To Identify Older Patients At Risk For 30-Day Hospital Readmission And 30-Day Mortality, Ariba Khan, Mary L. Hook, Maharaj Singh, Marsha Vollbrecht, Aaron Malsch, Michael L. Malone
Using An Automated Model To Identify Older Patients At Risk For 30-Day Hospital Readmission And 30-Day Mortality, Ariba Khan, Mary L. Hook, Maharaj Singh, Marsha Vollbrecht, Aaron Malsch, Michael L. Malone
Journal of Patient-Centered Research and Reviews
Background: A real-time electronic health record (EHR) predictive model that identifies older patients at risk for readmission and mortality may assist the health care team in improved patient care.
Purpose: This study was performed to generate an automated 30-day readmission and 30-day mortality risk model using data from the EHR in hospitalized older adults.
Methods: This was a retrospective cohort study. Included were patients age 65 years and older admitted to the hospital from July 2012 to December 2013. An automated predictive model was derived from variables collected from the EHR including socioeconomic factors, medical diagnoses and health care utilization. …