Join All In: Data for Community Health for the next webinar in our project showcase series highlighting insights and lessons from local collaborations sharing data across sectors to improve community health.
The webinar will feature two projects, led by public health departments in major cities, that are using data-driven approaches like predictive analytics and hotspotting to examine health trends at the community level and prevent negative health outcomes. These health departments are forming innovative partnerships with universities, hospitals, and community organizations to target resources and programs more efficiently for the greatest impact.
- Chicago Department of Public Health, with its partners, created a predictive model to identify young children at risk of being lead poisoned. The model provides an opportunity to prevent lead paint exposure through proactive home lead inspections and blood testing at an earlier age.
- Baltimore City Health Department, with its partners and the local Health Information Exchange, developed a real-time data surveillance system that tracks fall-related emergency department visits and hospitalizations. Data analyses are being used to target existing community programs and develop new falls prevention interventions.
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