Pressure Injury Prediction Model Using Advanced Analytics for At-Risk Hospitalized Patients.

Journal: Journal of patient safety
Published Date: May 19, 2022

Abstract

OBJECTIVE: Analyzing pressure injury (PI) risk factors is complex because of multiplicity of associated factors and the multidimensional nature of this injury. The main objective of this study was to identify patients at risk of developing PI.

Authors

  • Quan Do
    From the Department of Anesthesiology and Perioperative Medicine.
  • Kirill Lipatov
    Division of Pulmonary and Critical Care Medicine.
  • Kannan Ramar
    Division of Pulmonary and Critical Care Medicine, Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota.
  • Jenna Rasmusson
    Manager of Patient Safety, Mayo Clinic, Rochester, Minnesota.
  • Brian W Pickering
    Department of Anesthesiology, Mayo Clinic, Rochester, Minnesota, United States.
  • Vitaly Herasevich
    Department of Anesthesiology, Mayo Clinic, Rochester, MN, USA.

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