Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.

Journal: Applied clinical informatics
Published Date: Mar 1, 2019

Abstract

BACKGROUND: 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.

Authors

  • Carly Eckert
    KenSci Inc., Seattle, Washington, United States.
  • Neris Nieves-Robbins
    Office of the U.S. Army Surgeon General, Defense Health Headquarters (Health Information Technology/CMIO Office), Falls Church, Virginia, United States.
  • Elena Spieker
    Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.
  • Tom Louwers
    KenSci Inc., Seattle, Washington, United States.
  • David Hazel
    KenSci Inc., Seattle, Washington, United States.
  • James Marquardt
    KenSci Inc., Seattle, Washington, United States.
  • Keith Solveson
    Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.
  • Anam Zahid
    KenSci Inc., Seattle, Washington, United States.
  • Muhammad Ahmad
    Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital-Ganzhou Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
  • Richard Barnhill
    Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.
  • T Greg McKelvey
    KenSci Inc., Seattle, Washington, United States.
  • Robert Marshall
    Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.
  • Eric Shry
    Clinical Informatics Division, Madigan Army Medical Center, Joint Base Lewis-McChord, Tacoma, Washington, United States.
  • Ankur Teredesai
    KenSci Inc., Seattle, Washington, United States.

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