From Our Blog

Insights from Data-Driven Health Collaborations

This blog profiles community projects working to harness data from multiple sectors to develop more effective health interventions and policies.

Read the full Expert Insight series!

We know that the key drivers of health are social, economic, environmental and behavioral, but forging cross-sector connections at the community level is hard work. This blog profiles twenty-five community projects working to harness data from multiple sectors to develop more effective health interventions and policies. They are part of a nationwide learning collaborative called All In: Data for Community Health, which seeks to build the capacity of local communities to address social determinants of health by connecting and integrating data from multiple sectors.

With increasing investment in this area, and growing excitement about the potential to drive systemic change, it is critical for early innovators to share their insights and lessons learned. In a previous blog post, we profiled four local projects that are sharing data across sectors to create healthier environments. In this post, we share four key insights that might be useful those in the early stages of multi-sector data sharing.

What Have We Learned?

    • Invest in data mapping.
      Investments in data mapping (i.e., diagramming out data sources, types, flows, and conditions) during early stages will save both time and resources, and help clarify data needs and sharing parameters.
      Example: The Louisiana Public Health Institute is using health information technology to improve care coordination and access to services across sectors for those with severe and persistent mental illness. They have worked with partners in their community to map out current data sources, types, and current flows, and then layered in the changes desired for their program. This has helped them identify what is absolutely necessary, and expedited the data sharing agreement process.
    • Start early to generate buy-in for data sharing agreements.
      Developing legal agreements is a complicated process that can take months and even years, so project leadership should ensure broad conceptual support from key community leaders, stakeholders and lawyers early in the process—and then work diligently to negotiate the specifics.
      Example: The Baltimore City Health Department is creating a real-time data surveillance system to track fall-related emergency department visits and hospitalizations. In preparation for this project, they worked closely with executive leadership, including the City Solicitor, attorneys, and the Health Commissioner, to obtain their buy-in and map a tiered legal framework for data sharing that outlines different legal strategies based on specific applications of data, from public health surveillance activities to sharing protected health information.
    • Relationships are key to data sharing.
      Effective multi-sector data sharing is bolstered and accelerated by a strong history of collaboration with core partners. Working together toward common objectives and thinking about the mutual strategic imperatives for data sharing helps to build trust and moderate concerns.
      Example: Public Health Seattle & King County is partnering with public housing authorities to link Medicaid claims records and housing data to improve the health of King County residents. Before embarking on this project, Public Health Seattle & King County had already worked successfully with public housing authorities over many years on various initiatives, from creating tobacco-free living environments to asthma prevention. Sharing data was a natural next step that could help both sectors achieve a greater collective impact.
  • Disseminate shared data early and widely. There is great power in sharing data early and often with community members, in addition to encouraging their questions of the existing evidence to drive further inquiry. Community engagement, or the act of involving the individuals and organizations who may be impacted by the work, is a critical component of any successful data sharing initiative.
    Example: The Cincinnati Children’s Medical Center is working to integrate electronic health records and geographic information systems to help reduce inpatient hospitalizations for pediatric patients. After gaining the trust of their community and community hospital, they have been able to track that their inpatient bed-day measure is sensitive to long lengths of stay. Overall, this process has uncovered immediate opportunities, including novel interventions (e.g., to improve housing conditions) and identification of new data sources that can support program aims.

Join Us as We Move Forward
All In: Data for Community Health is committed to creating meaningful connections and developing a shared vision that can guide and advance the field of multi-sector data sharing. As projects work to tackle common challenges, the findings and best practices that emerge will be disseminated to help build capacity for this critically important work. We want to learn from you too, so please share your experiences!

To learn more, you can:

  • Sign up for news to receive monthly updates about current projects working in this field.
  • Read more about the 15 CHP Program projects and 10 DASH projects.
  • Get a snapshot of the current state of multi-sector data sharing initiatives for community health by reading the DASH Environmental Scan

Send us your questions, suggestions, and feedback by contacting allin@dashconnect.org

About the Author

Peter Eckart and Alison Rein

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Peter Eckart, M.A.

Director, Center for Health Information Technology, Illinois Public Health Institute

Peter Eckart’s career spans over twenty-five years in which he has successfully spearheaded operations and project management in not-for-profit organizations. In addition to his role as Director of Health and Information Technology at the Illinois Public Health Institute (IPHI), he is currently leading the National Program Office at IPHI for a Robert Wood Johnson Foundation initiative, Data Across Sectors for Health (DASH). DASH identifies barriers, opportunities, promising practices and indicators of progress for multi-sector collaborations to connect information systems and share data for community health improvement. 

Past accomplishments include the creation and direction of the Illinois Framework Stakeholder Engagement Project, where he oversaw the education, assessment and engagement for a multi-agency systems integration effort intended to lead healthcare transformation in Illinois. At IPHI, Peter created the public health data portal IQuery under a CDC grant, and led a national multi-organization environmental scan of local policy databases for healthy communities. 

Peter earned his master’s degree in Social Service Administration from the University of Chicago, and an undergraduate degree Business Administration from Valparaiso University, Indiana.

Alison Rein, M.S. 
Senior Director, Evidence Generation and Translation, AcademyHealth

Ms. Rein is a Senior Director for Evidence Generation and Translation at AcademyHealth, where she directs several projects that investigate how new sources of data and expanded stakeholder engagement are helping to transform health, care and research.

Ms. Rein leads the Community Health Peer (CHP) Learning Program, a partnership with ONC to establish a national peer learning collaborative for 15 competitively awarded communities to address specified population health management challenges through increased sharing and use of electronic data. The CHP program builds on the Beacon Community Cooperative Agreement Program, which Ms. Rein helped to support by identifying, documenting and disseminating results and lessons learned from these community-based initiatives. 

Ms. Rein has expertise in health IT and exchange policy, stakeholder engagement, comparative effectiveness research, information management and governance and community-based improvement, and has written and presented on a number of these topics. With nearly 20 years of experience in the health care field, she brings a range of skills to her work, including technical assistance design and execution, collaborative network development, research design and policy analysis.

Prior to joining AcademyHealth, Ms. Rein was assistant director of food and health policy at the National Consumers League. Ms. Rein holds a master’s degree in public policy analysis from the University of Rochester.