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Data Modernization in Action: Synthesizing Pioneering Informatics Projects in Public Health and Data Modernization
Chanhee Kim1, Aasa Dahlberg Schmit2, Sarah Solarz3
1School of Nursing, University of Minnesota, Minneapolis, MN.
The Data Modernization Initiative (DMI) enhances public health infrastructure. Analysis of DMI stories highlights communication and collaboration as key factors for successful data modernization in public health agencies.
Area of Science:
- Public Health Informatics
- Health Data Management
- Epidemiology
Background:
- Public health relies heavily on data infrastructure.
- The Data Modernization Initiative (DMI) aims to improve this infrastructure.
- DMI Stories from the Field showcase modernization efforts.
Purpose of the Study:
- Analyze DMI Stories from the Field to identify common themes and successes.
- Understand the key factors contributing to data modernization progress.
- Inform future DMI strategies and support.
Main Methods:
- Qualitative analysis of 241 DMI stories.
- Coding of stories to identify recurring topics and themes.
- Thematic analysis and expert validation of findings.
Main Results:
- Common topics included outbreak response and capacity building in information systems, epidemiology, and laboratories.
- 199 codes organized into 7 themes, with communication, collaboration, and public health agencies as top codes.
- People factors, funding, and sustainability were critical for success.
Conclusions:
- DMI Stories provide valuable insights into public health data modernization.
- Effective communication and collaboration are essential for DMI success.
- Continued DMI efforts and impact evaluation are recommended to strengthen public health infrastructure.
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