Published on in Vol 7, No 4 (2019): Oct-Dec

Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study

Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study

Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study

David Chartash   1 , PhD ;   Hyung Paek   2 , MSEE, MD ;   James D Dziura   3 , MPH, PhD ;   Bill K Ross   4 ;   Daniel P Nogee   3 , MD ;   Eric Boccio   3 , MD ;   Cory Hines   5 , MD ;   Aaron M Schott   5 , MD ;   Molly M Jeffery   6, 7 , PhD ;   Mehul D Patel   5 , PhD ;   Timothy F Platts-Mills   5 , MSc, MD ;   Osama Ahmed   3 , BSc ;   Cynthia Brandt   1, 3 , MPH, MD ;   Katherine Couturier   3 , MD ;   Edward Melnick   3 , MHS, MD

1 Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, CT, United States

2 Information Technology Services, Yale New Haven Health, New Haven, CT, United States

3 Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, United States

4 North Carolina Translational and Clinical Sciences Institute, University of North Carolina School of Medicine, Chapel Hill, NC, United States

5 Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, United States

6 Department of Emergency Medicine, Mayo Clinic, Rochester, MN, United States

7 Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States

Corresponding Author:

  • Edward Melnick, MHS, MD
  • Department of Emergency Medicine
  • Yale University School of Medicine
  • 464 Congress Ave
  • Suite 260
  • New Haven, CT, 06519
  • United States
  • Phone: 1 2037855174
  • Fax: 1 2037854580
  • Email: edward.melnick@yale.edu