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Published on: April 9, 2021
Planning a Regional Data Ecosystem for Public Health Preparedness and Response
John Y Choe1, Martha S Ryan, Adam Elder
1Author Affiliations: Center for Disaster Resilient Communities, University of Washington, Seattle, Washington (Choe, Ryan, Casey, Patel, and Errett); Department of Industrial and Systems Engineering, University of Washington, Seattle, Washington (Choe and Ryan); Department of Epidemiology, University of Washington, Seattle, Washington (Elder, Garcia, and Baseman); Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington (Gassett, Blake, Paschall, Casey, Patel, and Errett); University of Washington Medicine Research IT (Raymond); and Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington (Phuong).
Developing a regional data ecosystem for public health preparedness and response (PHPR) requires codesigned governance and reduced data sharing barriers. This approach aims to improve decision-making and equity in the Northwest region.
Area of Science:
- Public Health Informatics
- Data Ecosystem Development
- Regional Health Preparedness
Background:
- Siloed public health data hinder effective preparedness and response (PHPR).
- Integration challenges impede evidence-based strategies and limit public health agencies' ability to reduce risk and enhance equity.
Purpose of the Study:
- To conceptualize a regional data ecosystem for enhanced PHPR.
- To connect people, platforms, and processes for improved data-driven decision-making in the Northwest region.
Main Methods:
- User-centered design approach with a Community of Practice (CoP) codesigning the ecosystem.
- Collaborative methods included facilitated meetings, document reviews, environmental scans, and expert consultations over seven months.
- The study focused on HHS Region 10, encompassing Alaska, Idaho, Oregon, and Washington, including 272 Tribal nations.
Main Results:
- A whitepaper details priority recommendations for governance, policy, logistics, data, and infrastructure.
- Emphasis on building inter-organizational trust through deliberate data governance planning.
- Identified needs to reduce technical, legal, and staffing barriers to data integration and sharing, with 90 recommendations provided.
Conclusions:
- Codesign and fostering trust are central to developing the data ecosystem.
- Implementation and evaluation of recommendations are contingent upon funding.
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