Developing User-Centered Technology to Improve Population Health

All In: Data for Community Health recently launched a project showcase webinar series to highlight successes and lessons learned from community projects that are developing data-driven, cross-sector solutions to improve community health. In the first webinar kicking off the series, Karen DeSalvo, MD, MPH, MSc, Former Acting Assistant Secretary for Health and National Coordinator for Health IT, provided opening remarks on the importance of translating efforts to incorporate the social determinants of health from the pilot phase to the way we do business “because people’s lives depend on it.”

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Communicating Data to Spark Action: Ten Lessons Learned

By Andy Krackov, Vice President, Data Strategy, Velir

A few years ago, I was peripherally involved in work that a small county in California was doing to raise awareness about the large number of falls among seniors across the county. To help make a compelling case, the key staffer there wrote a data report – in this instance, in the form of a story that integrated photos, quotes, and charts. Most of the time, such reports sit on the proverbial shelf, too seldom leading to impact. But in this case, county supervisors took notice, and increased funding for the fall prevention program by adding an extra staffer.

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New Training Resources Help Build Capacity to Share Data

By Leah Hendey, Deputy Director, National Neighborhood Indicators Partnership

I had the opportunity to represent the National Neighborhood Indicators Partnership (NNIP) at the All In National Meeting in April and heard about the exciting progress All In communities are making to better address the social determinants of health for individuals, and to collaborate and share data with institutions across sectors.

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The Universal Difficulty (but not Impossibility) of Sharing Data

This blog was originally published on ReThink Health’s blog, with permission from The Rippel Foundation.

The recent ReThink Health Pulse Check report provides an excellent frame for thinking about the growing number of multi-sector partnerships to improve population and community health. It arrays 237 such partnerships that responded to a 2016 survey and represent varying phases of development along ReThink Health’s Pathway for Transforming Regional Health. Each developmental phase presents its own set of pitfalls, or barriers to progress, as well as opportunities for building momentum.

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Data Sharing for Health: Communities Join Forces to Share What Works

By Veenu Aulakh, Executive Director, Center for Care Innovations

I had an opportunity to attend the All In: Data for Community Health National Meeting, which focused on supporting learning and networking around multi-sector data collaboration. It was an exciting event because it pulled together individuals from many different sectors beyond just health care. There were people from criminal justice, housing, social services, research, technology, data visualization and policy. Everyone was committed to demonstrating the value of multi-sector data integration to improve community health.

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Beyond the Next Grant: Sustaining Data Sharing Collaborations

Local leaders engaged in data sharing collaborations often wrestle with how to develop viable financing mechanisms to sustain their momentum towards creating a Culture of Health. The 2016 ReThink Health Pulse Check Survey illuminated the fact that, unlike other sectors such as housing and community development, the population health sector overwhelmingly (89%) relies on grants as its main funding source.

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All In National Meeting Recap

The All In National Meeting brought together 250+ stakeholders from community collaborations across the nation that are driving population health improvement through multi-sector data sharing. Read a summary of the meeting from All In staff and attendees on Twitter!

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Creating Effective Training and Workflows to Improve Care Coordination

To provide coordinated care that meets patients’ needs, many communities are developing information systems to share data across clinical and social service settings. In order for these systems to be effective in connecting patients to the right services at the right time, care teams need to adjust their workflows to incorporate this new data into their current practice, often at several different organizations.

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