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Developing a Regional Distributed Data Network for Surveillance of Chronic Health Conditions: The Colorado Health
Emily Bacon1, Gregory Budney, Jessica Bondy
1Department of Sociology and Population Program, Institute of Behavioral Science, University of Colorado Boulder, Boulder, Colorado (Ms Bacon); Denver Public Health, Denver Health, Denver, Colorado (Mr Budney, Ms McCormick, and Dr Davidson); Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Denver, Colorado (Ms Bondy); Department of Pediatrics, University of Colorado Denver Anschutz Medical Campus, Denver, Colorado (Dr Kahn); Kaiser Permanente Colorado Institute for Health Research, Denver, Colorado (Dr Steiner); Kaiser Permanente Colorado Institute for Health Research, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado (Mr Tabano); Jefferson Center for Mental Health, Department of Family Medicine, University of Colorado Medical Anschutz Campus, Aurora, Colorado (Dr Waxmonsky); and University of Colorado Anschutz Medical Campus, Aurora, Colorado (Ms Zucker).
Electronic health records (EHRs) offer a powerful tool for public health surveillance of chronic conditions. Regional data networks using EHR data can improve community health insights, though challenges remain.
Area of Science:
- Public Health
- Health Informatics
- Data Science
Background:
- Traditional public health surveillance relies on surveys and administrative data.
- Electronic Health Records (EHRs) offer a valuable alternative data source for population health monitoring.
- Improving infrastructure for secondary data use from EHRs enables broader stakeholder benefits.
Purpose of the Study:
- To describe the attributes of regional distributed data networks utilizing EHR data.
- To present the history and design of the Colorado Health Observation Regional Data Service (CHORDS) as a public health surveillance tool.
- To offer CHORDS as a potential model for other regions pursuing EHR-based surveillance.
Main Methods:
- Developing a common data model to standardize EHR data for interoperability.
- Establishing diverse data partnerships across multiple organizations.
- Implementing flexible infrastructure and transparent governance for data sharing and analysis.
Main Results:
- CHORDS has been established as a regional distributed data network for public health surveillance.
- The network leverages EHR data to understand chronic health conditions within communities.
- Diverse partnerships, infrastructure, and governance facilitate regional health insights.
Conclusions:
- Regional distributed data networks using EHR data are emerging as effective public health surveillance tools.
- CHORDS demonstrates a viable model for EHR-based surveillance of chronic health conditions.
- Addressing technological, partnership, and value proposition challenges is crucial for widespread adoption.
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