Name
Unified Data Collection: Enhancing Vital Statistics Through Cross-Agency Collaboration
Description
This round-table and/or panel discussion will showcase how state departments of health, law enforcement agencies, and medical examiners are collaborating to transform vital statistics reporting for violent death and unintentional drug overdose. Through strategic assessment and stakeholder engagement, this initiative aligns with a modern four-layer architecture model, demonstrating how cross-agency partnerships and thoughtful system design can advance data-driven solutions and improve public health outcomes across the U.S.
Presentation Learning Objectives
1) Strategic Assessment Framework for Cross-Agency Data Modernization: We will 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 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) Simplifying Unified Data Collection Across Stakeholders: We'll 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) Modern Technology and Data Governance for Public Health Systems: We'll 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.
Speaker Name
Zach Finn
Speaker Credentials
B.S. in Management Information Systems
Speaker Title
Senior Consultant
Speaker Organization
Ruvos
Speaker 2 Name
Eduardo Gonzalez Loumiet
Speaker 2 Credentials
MBA, PMP, CPHIMS
Speaker 2 Title
Senior Advisor, Informatics Strategy
Speaker 2 Organization
Association of Public Health Laboratories (APHL)
Speaker 3 Name
Leah Elsmore
Speaker 3 Credentials
MPH
Speaker 3 Title
Senior Consultant
Speaker 3 Organization
North Highland