Gap Analysis: Mapping Emergency Department Data to a Common Data Model for Opioid-Use Disorder Surveillance

Poster Number: P70
Presentation Time: 05:00 PM - 06:30 PM

Abstract Keywords: Data Standards, Data Transformation/ETL, Informatics Implementation, Clinical Decision Support, Health Equity
Primary Track: Applications
Programmatic Theme: Clinical Informatics

We performed a gap analysis to assess the feasibility of mapping electronic health record data from the Clinical Emergency Data Registry (CEDR) to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). While most CEDR fields could be mapped to OMOP, challenges remain in handling protected health information and addressing complex data transformations. This highlights the importance of standardized data models in enhancing opioid surveillance efforts.

Speaker(s):
Inessa Cohen, MPH
Yale University

Author(s):
Inessa Cohen, MPH - Yale University; Richard Taylor, MD MHS - Yale University; Zihan Diao, AB - Yale University; Pawan Goyal, MD, MHA, FAMIA, FHIMSS, PMP - American College of Emergency Physicians; Kathryn Hawk, MD, MHD - Yale University; Bill Malcom, PMP - American College of Emergency Physicians (ACEP); Caitlin Malicki, MPH - Yale University; Brian Sweeney, A&P - American College of Emergency Physicians (ACEP); Dhruv Sharma, MS - American College of Emergency Physicians; Scott Weiner, MD, MPH - Brigham and Women’s Hospital; Arjun Venkatesh, MD, MBA, MHS - Yale University;