Identification of postoperative complications using electronic health record data and machine learning.

Journal: American journal of surgery
Published Date: Oct 9, 2019

Abstract

BACKGROUND: Using the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) complication status of patients who underwent an operation at the University of Colorado Hospital, we developed a machine learning algorithm for identifying patients with one or more complications using data from the electronic health record (EHR).

Authors

  • Michael Bronsert
    University of Colorado Anschutz Medical Campus, Adult and Child Consortium for Health Outcomes Research and Delivery Science, Aurora, CO, USA; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA. Electronic address: Michael.Bronsert@CUAnschutz.edu.
  • Abhinav B Singh
    Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA. Electronic address: Abhinav.Singh@CUAnschutz.edu.
  • William G Henderson
    University of Colorado Anschutz Medical Campus, Adult and Child Consortium for Health Outcomes Research and Delivery Science, Aurora, CO, USA; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA; University of Colorado Anschutz Medical Campus, Colorado School of Public Health, Department of Biostatistics and Informatics, Aurora, CO, USA. Electronic address: William.Henderson@CUAnschutz.edu.
  • Karl Hammermeister
    University of Colorado Anschutz Medical Campus, Adult and Child Consortium for Health Outcomes Research and Delivery Science, Aurora, CO, USA; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA; University of Colorado Anschutz Medical Campus, School of Medicine, Department of Cardiology, Aurora, CO, USA. Electronic address: Karl.Hammermeister@CUAnschutz.edu.
  • Robert A Meguid
    University of Colorado Anschutz Medical Campus, Adult and Child Consortium for Health Outcomes Research and Delivery Science, Aurora, CO, USA; Surgical Outcomes and Applied Research Program, Department of Surgery, University of Colorado School of Medicine, Aurora, CO, USA. Electronic address: Robert.Meguid@CUAnschutz.edu.
  • Kathryn L Colborn
    University of Colorado Anschutz Medical Campus, Colorado School of Public Health, Department of Biostatistics and Informatics, Aurora, CO, USA. Electronic address: kathryn.colborn@CUAnschutz.edu.

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