This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (266) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Opioid and Related Substance Misuse (147) Substance Abuse (419)

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

Authors of this article:

David Chartash1 Author Orcid Image ;   Hyung Paek2 Author Orcid Image ;   James D Dziura3 Author Orcid Image ;   Bill K Ross4 Author Orcid Image ;   Daniel P Nogee3 Author Orcid Image ;   Eric Boccio3 Author Orcid Image ;   Cory Hines5 Author Orcid Image ;   Aaron M Schott5 Author Orcid Image ;   Molly M Jeffery6, 7 Author Orcid Image ;   Mehul D Patel5 Author Orcid Image ;   Timothy F Platts-Mills5 Author Orcid Image ;   Osama Ahmed3 Author Orcid Image ;   Cynthia Brandt1, 3 Author Orcid Image ;   Katherine Couturier3 Author Orcid Image ;   Edward Melnick3 Author Orcid Image
Article Authors Cited by (20) Tweetations (22) Metrics

Journals

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  2. Holland W, Nath B, Li F, Maciejewski K, Paek H, Dziura J, Rajeevan H, Lu C, Katsovich L, D'Onofrio G, Melnick E, Meisel Z. Interrupted Time Series of User‐centered Clinical Decision Support Implementation for Emergency Department–initiated Buprenorphine for Opioid Use Disorder. Academic Emergency Medicine 2020;27(8):753 View
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