1) Examine a comprehensive methodology for evaluating current-state systems and processes that emphasizes stakeholder ownership and buy-in across public health entities, law enforcement agencies, and medical examiners. This framework guides organizations through technical discovery, gap analysis, and roadmap development toward a unified data platform that aligns with the CDC's Data Modernization Initiative (DMI). Attendees will gain insights into conducting collaborative assessments that drive stakeholder engagement and inform future-state architecture decisions.
2) Explore the complete data journey from initial collection at medical examiner offices and their collaboration with law enforcement through to CDC national reporting, examining how each stakeholder interacts with and transforms the data. By understanding both the macro view of cross-agency workflows and the micro view of individual processes, we'll demonstrate how thoughtful system design can simplify everyone's work while improving data quality. Attendees will learn how optimizing the full data experience (DX) creates efficiencies that benefit all participants in the public health data ecosystem.
3) Examine a modern four-layer architecture model encompassing Data Lakehouse and Pipelines, Data Enrichment, Data Analytics and Visualization, and Data Operations and Presentation. This comprehensive approach enables organizations to build robust public health systems that support both operational needs and advanced analytics while maintaining security and governance. Attendees will learn how this layered architecture creates a flexible foundation for all types of public health systems and requirements.