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

Area of Science:

• Health Informatics
• Emergency Medicine
• Data Science

Background:

• The Clinical Emergency Data Registry (CEDR) is a qualified clinical data registry.
• It collects data from US emergency departments (EDs) for quality measurement and reporting.

Purpose of the Study:

• To provide an overview of CEDR's data collection, validation, and structure.
• To explore opportunities and limitations for CEDR data in research.
• To detail the transition to the Emergency Medicine Data Institute.

Main Methods:

• Data are collected from diverse sources, including electronic health records and billing data.
• Data are de-identified and stored in a secure, centralized database.
• The data structure is organized around clinical episodes with standardized common data elements.

Main Results:

• CEDR data include patient demographics, clinical characteristics, procedures, and outcomes.
• Limitations include potential lack of generalizability and incomplete data for non-quality reporting elements.
• CEDR offers large-volume, longitudinal, near real-time clinical data for research.

Conclusions:

• CEDR has significant potential for emergency medicine research despite current limitations.
• The transition to the Emergency Medicine Data Institute aims to enhance data quality and completeness.
• Improved data will advance emergency care research and practice.