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

Journals

  1. Palumbo S, Adamson K, Krishnamurthy S, Manoharan S, Beiler D, Seiwell A, Young C, Metpally R, Crist R, Doyle G, Ferraro T, Li M, Berrettini W, Robishaw J, Troiani V. Assessment of Probable Opioid Use Disorder Using Electronic Health Record Documentation. JAMA Network Open 2020;3(9):e2015909 View
  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
  3. . Progress Report on EMBED: A Pragmatic Trial of User-Centered Clinical Decision Support to Implement EMergency Department-Initiated BuprenorphinE for Opioid Use Disorder. Journal of Psychiatry and Brain Science 2020 View
  4. Rosen T, Platts-Mills T, Fulmer T. Screening for elder mistreatment in emergency departments: current progress and recommendations for next steps. Journal of Elder Abuse & Neglect 2020;32(3):295 View
  5. Murphy S, Yoder J, Pathak J, Avery J. Healthcare utilization patterns among persons who use drugs during the COVID-19 pandemic. Journal of Substance Abuse Treatment 2021;121:108177 View
  6. Joyce C, Markossian T, Nikolaides J, Ramsey E, Thompson H, Rojas J, Sharma B, Dligach D, Oguss M, Cooper R, Afshar M. The Evaluation of a Clinical Decision Support Tool Using Natural Language Processing to Screen Hospitalized Adults for Unhealthy Substance Use: Protocol for a Quasi-Experimental Design. JMIR Research Protocols 2022;11(12):e42971 View
  7. Singleton J, Li C, Akpunonu P, Abner E, Kucharska-Newton A. Using natural language processing to identify opioid use disorder in electronic health record data. International Journal of Medical Informatics 2023;170:104963 View
  8. Mospan G, Chaplin M. Initiation of buprenorphine for opioid use disorder in the hospital setting: Practice models, challenges, and legal considerations. American Journal of Health-System Pharmacy 2022;79(3):140 View
  9. Lowenstein M, Perrone J, Xiong R, Snider C, O’Donnell N, Hermann D, Rosin R, Dees J, McFadden R, Khatri U, Meisel Z, Mitra N, Delgado M. Sustained Implementation of a Multicomponent Strategy to Increase Emergency Department-Initiated Interventions for Opioid Use Disorder. Annals of Emergency Medicine 2022;79(3):237 View
  10. Taylor R, Fiellin D, D'Onofrio G, Venkatesh A. Identifying Opioid-Related Electronic Health Record Phenotypes for Emergency Care Research and Surveillance: An Expert Consensus Driven Concept Mapping Process. Substance Abuse 2022;43(1):841 View
  11. Schirle L, Jeffery A, Yaqoob A, Sanchez-Roige S, Samuels D. Two data-driven approaches to identifying the spectrum of problematic opioid use: A pilot study within a chronic pain cohort. International Journal of Medical Informatics 2021;156:104621 View
  12. Melnick E, Nath B, Dziura J, Casey M, Jeffery M, Paek H, Soares W, Hoppe J, Rajeevan H, Li F, Skains R, Walter L, Patel M, Chari S, Platts-Mills T, Hess E, D’Onofrio G. User centered clinical decision support to implement initiation of buprenorphine for opioid use disorder in the emergency department: EMBED pragmatic cluster randomized controlled trial. BMJ 2022:e069271 View
  13. Holland W, Li F, Nath B, Jeffery M, Stevens M, Melnick E, Dziura J, Khidir H, Skains R, D'Onofrio G, Soares W. Racial and ethnic disparities in emergency department–initiated buprenorphine across five health care systems. Academic Emergency Medicine 2023;30(7):709 View
  14. Brondeel K, Malone K, Ditmars F, Vories B, Ahmadzadeh S, Tirumala S, Fox C, Shekoohi S, Cornett E, Kaye A. Algorithms to Identify Nonmedical Opioid Use. Current Pain and Headache Reports 2023;27(5):81 View
  15. Taylor R, Gilson A, Schulz W, Lopez K, Young P, Pandya S, Coppi A, Chartash D, Fiellin D, D’Onofrio G, Ray M. Computational phenotypes for patients with opioid-related disorders presenting to the emergency department. PLOS ONE 2023;18(9):e0291572 View
  16. Gao E, Melnick E, Paek H, Nath B, Taylor R, Loza A. Adoption of Emergency Department–Initiated Buprenorphine for Patients With Opioid Use Disorder. JAMA Network Open 2023;6(11):e2342786 View
  17. Ward R, Obeid J, Jennings L, Szwast E, Hayes W, Pipaliya R, Bailey C, Faul S, Polyak B, Baker G, McCauley J, Lenert L. Enhanced phenotypes for identifying opioid overdose in emergency department visit electronic health record data. JAMIA Open 2023;6(3) View