The Clinical Emergency Data Registry: Structure, Use, and Limitations for Research.

Autor: Lin MP; Department of Emergency Medicine, Stanford University, Palo Alto, CA. Electronic address: mplin@stanford.edu., Sharma D; Quality Department, American College of Emergency Physicians, Irving, TX., Venkatesh A; Department of Emergency Medicine, Yale University, New Haven, CT., Epstein SK; Department of Emergency Medicine, Harvard Medical School, Boston, MA., Janke A; Veterans Affairs Ann Arbor Healthcare System and University of Michigan, Ann Arbor, MI., Genes N; Ronald O. Perelman Department of Emergency Medicine, NYU Grossman School of Medicine, New York, NY., Mehrotra A; Department of Emergency Medicine, University of North Carolina, Chapel Hill, NC., Augustine J; Department of Emergency Medicine, Wright State University, Dayton, OH., Malcolm B; Quality Department, American College of Emergency Physicians, Irving, TX., Goyal P; Quality Department, American College of Emergency Physicians, Irving, TX., Griffey RT; Department of Emergency Medicine, Washington University, St. Louis, MO.
Jazyk: angličtina
Zdroj: Annals of emergency medicine [Ann Emerg Med] 2024 May; Vol. 83 (5), pp. 467-476. Date of Electronic Publication: 2024 Jan 23.
DOI: 10.1016/j.annemergmed.2023.12.014
Abstrakt: The Clinical Emergency Data Registry (CEDR) is a qualified clinical data registry that collects data from participating emergency departments (EDs) in the United States for quality measurement, improvement, and reporting purposes. This article aims to provide an overview of the data collection and validation process, describe the existing data structure and elements, and explain the potential opportunities and limitations for ongoing and future research use. CEDR data are primarily collected for quality reporting purposes and are obtained from diverse sources, including electronic health records and billing data that are de-identified and stored in a secure, centralized database. The CEDR data structure is organized around clinical episodes, which contain multiple data elements that are standardized using common data elements and are mapped to established terminologies to enable interoperability and data sharing. The data elements include patient demographics, clinical characteristics, diagnostic and treatment procedures, and outcomes. Key limitations include the limited generalizability due to the selective nature of participating EDs and the limited validation and completeness of data elements not currently used for quality reporting purposes, including demographic data. Nonetheless, CEDR holds great potential for ongoing and future research in emergency medicine due to its large-volume, longitudinal, near real-time, clinical data. In 2021, the American College of Emergency Physicians authorized the transition from CEDR to the Emergency Medicine Data Institute, which will catalyze investments in improved data quality and completeness for research to advance emergency care.
(Copyright © 2023 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: