Enhanced phenotypes for identifying opioid overdose in emergency department visit electronic health record data.

Journal: JAMIA open
Published Date: Sep 11, 2023

Abstract

BACKGROUND: Accurate identification of opioid overdose (OOD) cases in electronic healthcare record (EHR) data is an important element in surveillance, empirical research, and clinical intervention. We sought to improve existing OOD electronic phenotypes by incorporating new data types beyond diagnostic codes and by applying several statistical and machine learning methods.

Authors

  • Ralph Ward
    Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, United States.
  • Jihad S Obeid
    Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC 29425, United States.
  • Lindsey Jennings
    Department of Emergency Medicine, Medical University of South Carolina, Charleston, SC 29425, United States.
  • Elizabeth Szwast
    Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC 29425, United States.
  • William Garrett Hayes
    College of Medicine, Medical University of South Carolina, Charleston, SC 29425, United States.
  • Royal Pipaliya
    College of Medicine, Medical University of South Carolina, Charleston, SC 29425, United States.
  • Cameron Bailey
    College of Medicine, Medical University of South Carolina, Charleston, SC 29425, United States.
  • Skylar Faul
    School of Medicine, Mercer University, Macon, GA 31207, United States.
  • Brianna Polyak
    School of Medicine, University of Texas Rio Grande Valley, Edinburg, TX 78539, United States.
  • George Hamilton Baker
    Department of Pediatric Cardiology, Medical University of South Carolina, Charleston, SC 29425, United States.
  • Jenna L McCauley
    Department of Psychiatry, Medical University of South Carolina, Charleston, SC 29425, United States.
  • Leslie A Lenert
    Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC 29425, United States.

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