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Research using emergency department-related data sets: current status and future directions
Jon Mark Hirshon1, Margaret Warner, Charlene B Irvin
1Department of Emergency Medicine, and Charles McC. Mathias Jr. National Study Center for Trauma and EMS, University of Maryland School of Medicine, Baltimore, MD, USA. jhirs001@umaryland.edu
Emergency department (ED) data sets offer significant research value for public health. Enhancing data linkage, access, completeness, and jurisdictional parsing is crucial for maximizing their potential to improve population health.
Area of Science:
- Public Health
- Health Services Research
- Emergency Medicine
Background:
- The 2009 Academic Emergency Medicine consensus conference highlighted the research potential of health-related data sets.
- A breakout session focused on public health in the emergency department (ED), emphasizing surveillance, screening, and intervention.
- This article details the proceedings from that session, focusing on ED-related data sets.
Purpose of the Study:
- To discuss the research value of emergency department (ED)-related data sets.
- To provide examples of using ED visit data for research.
- To identify barriers, limitations, and future directions for utilizing ED data.
Main Methods:
- Review of proceedings from a 2009 Academic Emergency Medicine consensus conference breakout session.
- Discussion of available ED-related data set types.
- Analysis of barriers and limitations to research use of ED data.
Main Results:
- ED-related data sets are valuable for research, containing information from healthcare facilities and patient records.
- Key barriers to research include data linkage issues, access restrictions, incomplete collection, and jurisdictional parsing challenges.
- Five main needs were identified: electronic linkage of visits and outcomes, timely access, complete data collection, jurisdictional data access, and linkage with survey/claims data.
Conclusions:
- ED-related data sets hold significant potential for studying and improving individual and population health.
- Addressing identified needs is essential for unlocking the full research potential of these data sources.
- Future research should focus on overcoming current limitations to enhance data utility for public health initiatives.
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