Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 39301656

Abstract

OBJECTIVE: Unplanned readmissions following a hospitalization remain common despite significant efforts to curtail these. Wearable devices may offer help identify patients at high risk for an unplanned readmission.

Authors

  • Vishal Nagarajan
    Department of Medicine, University of California San Diego, La Jolla, CA 92103, United States.
  • Supreeth Prajwal Shashikumar
    Department of Medicine, University of California San Diego, La Jolla, CA 92103, United States.
  • Atul Malhotra
    Division of Pulmonary, Critical Care, and Sleep Medicine, University of California, San Diego, La Jolla, CA. Electronic address: amalhotra@health.ucsd.edu.
  • Shamim Nemati
    Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA.
  • Gabriel Wardi
    Emergency Medicine, University of California San Diego, La Jolla, California, USA.

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