Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.
Thirty-day hospital readmissions are a quality metric for health care systems. Predictive models aim to identify patients likely to readmit to more effectively target preventive strategies. Many risk of readmission models have been developed on retrospective data, but prospective validation of readmission models is rare. To the best of our knowledge, none of these developed models have been evaluated or prospectively validated in a military hospital.
Author(s): Eckert, Carly, Nieves-Robbins, Neris, Spieker, Elena, Louwers, Tom, Hazel, David, Marquardt, James, Solveson, Keith, Zahid, Anam, Ahmad, Muhammad, Barnhill, Richard, McKelvey, T Greg, Marshall, Robert, Shry, Eric, Teredesai, Ankur
DOI: 10.1055/s-0039-1688553