Modernizing Data Systems in Environmental Public Health: A Blueprint for Action
Synthesis and Key Insights From the Case Studies The four case studies from California, San Bernardino County, Texas, and Ten - nessee show that environmental health data modernization is not a one-size- fits-all process, but rather a strategic alignment of technology, governance, and user-centered design tailored to local needs. Despite differences in scope and scale—from localized traffic exposure mapping to statewide data warehouse— common themes emerge: • Integration of disparate data sources • Automation and cloud-readiness • GIS as a core enabler • Public accessibility and transparency • Risk identification These themes played out differently across various jurisdictions, yet all shared common elements such as iterative development, strong partnerships, and sustained investment in scalable infrastructure adaptable to both urban and rural settings. In California and Tennessee, modernization efforts started by standardizing data models, classification schemes, and formats. This approach reduced in- tegration complexity and ensured long-term maintainability. California’s har- monization of traffic datasets and Tennessee’s standardized risk assessment workflows exemplify how establishing early consistency results in systems that are both scalable and replicable. Automation significantly saved staff time by streamlining data ingestion, pro- cessing, and reporting. For example, Texas’s SHARP platform and Tennessee’s TN-SWAPyT reduced manual processing by over one third, allowing for quicker updates and more responsive responses to emerging health threats. GIS technologies played a crucial role in improving internal efficiency and en- hancing public transparency. San Bernardino County’s mobile GIS inspection tools and California’s interactive traffic exposure maps supported field opera- tions, helped visualize complex data for decision-making, and facilitated clear communication with communities.
Modernized systems also thrived when integrated with familiar tools such as Tableau, SAS, and ArcGIS, combined with responsive, user-friendly interfaces. Iterative refinements based on direct user feedback, as seen in San Bernardino and California, ensured that technical improvements translated into tangible op - erational benefits. Finally, cross-jurisdictional and cross-sector collaboration proved vital. Tennes- see’s partnership with USGS and California’s alignment with CDC provided es - sential technical expertise, data access, and funding. These collaborations re- duced barriers and accelerated implementation.
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