Mapping Emergency Medicine Data to the Observational Medical Outcomes Partnership Common Data Model: A Gap Analysis of the American College of Emergency Physicians Clinical Emergency Data Registry
The OMOP-CDM presents a promising framework for standardizing emergency medicine data, thereby enhancing future query automation, analytics, and cross-institutional collaboration. Despite the potential challenges in capturing unique CEDR fields and addressing necessary transformations, most emergency department data can be standardized within the OMOP-CDM, fostering broader insights and applications in research and public health.
Authors
- Kathryn F. Hawk (ORCID: https://orcid.org/0000-0001-7435-5945)
- Inessa Cohen (ORCID: https://orcid.org/0000-0002-5807-2635)
- Aarti Gupta (ORCID: https://orcid.org/0000-0001-6676-9400)
- Scott G. Weiner (ORCID: https://orcid.org/0000-0002-4672-5184)
- Arjun K. Venkatesh (ORCID: https://orcid.org/0000-0002-8248-0567)
- Caitlin Malicki
- Brian Sweeney
- Bill Malcom
- Dhruv Sharma (ORCID: https://orcid.org/0009-0007-9036-1190)
- Pawan Goyal (ORCID: https://orcid.org/0000-0002-9414-8166)
- Richard A. Taylor (ORCID: https://orcid.org/0000-0002-9082-6644)
- Zihan Diao (ORCID: https://orcid.org/0000-0003-1571-5386)
Institutions
- American College of Cardiology (US)
- Brigham and Women's Hospital (US)
- Yale University (US)
- American College of Physicians (US)
- American College of Emergency Physicians (US)
Publication Details
- Journal
- Journal of the American College of Emergency Physicians Open
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1016/j.acepjo.2024.100016
- Citations
- 1
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.25
Funders
- National Institutes of Health
- National Institute on Drug Abuse