Development of a Predictive Hospitalization Model for Skilled Nursing Facility Patients.

Journal: Journal of the American Medical Directors Association
PMID: 39349065

Abstract

OBJECTIVES: Identifying skilled nursing facility (SNF) patients at risk for hospitalization or death is of interest to SNFs, patients, and patients' families because of quality measures, financial penalties, and limited clinical staffing. We aimed to develop a predictive model that identifies SNF patients likely to be hospitalized or die within the next 7 days and validate the model's performance against clinician judgment.

Authors

  • Ben Kandel
    PointClickCare Technologies Inc., Mississauga, ON, Canada. Electronic address: Ben.Kandel@pointclickcare.com.
  • Cheryl Field
    PointClickCare Technologies Inc., Mississauga, ON, Canada.
  • Jasmeet Kaur
    PointClickCare Technologies Inc., Mississauga, ON, Canada.
  • Dean Slawson
    PointClickCare Technologies Inc., Mississauga, ON, Canada.
  • Joseph G Ouslander
    Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA.

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