The agency’s public health data infrastructure made it difficult to track and process critical health information at national scale. State, local, tribal, and territorial health authorities relied on multiple disconnected systems, each with its own processes and requirements..
Once data was submitted, there was little visibility into whether it had been received or correctly formatted. Partners often waited days or weeks for feedback, slowing response times for analysts and decision-makers.
At scale, this lack of visibility introduced risk, limited confidence in the system. And made it difficult to respond quickly when data quality issues emerged.
Meeting the needs of a national public health mission required a solution that could streamline interactions across many systems while maintaining high security and reliability standards.
Working closely with agency technical teams, we modernized the data ingestion process in ways that would support continuous operation and incremental change.
We built early validation and transparent submission tracking. Partners have immediate visibility into whether data was received, validated, and ready for use.
By identifying issues as data enters the system rather than later in downstream workflows, we shortened feedback loops, reduced uncertainty, and improved confidence for partners submitting time-sensitive information.
We enabled reliable data transfer at national scale. The platform supports very large submissions and maintains data integrity even when connectivity is inconsistent or demand spikes.
The system has demonstrated sustained ingestion under real-world conditions and remains reliable during periods of peak demand.
We designed a platform that can adapt across environments without disrupting operations or locking the agency into a single infrastructure approach.
This flexibility supported a successful transition between cloud environments while maintaining full functionality and reducing operating costs by more than 80 percent.
We designed the data exchange to scale across environments while maintaining real-time visibility into system performance as demand grows.
The platform supports continuous operation without infrastructure lock-in, making it adaptable to organizations with varying operational needs while giving teams the insight required to maintain confidence at scale.
We introduced change without disrupting operations. The platform is designed to evolve without interrupting mission-critical public health workflows. We introduced changes incrementally and released updates without requiring maintenance windows, allowing the system to remain available for external partners submitting critical data.
A major research institution described the platform as “the best experience they’ve ever had working with a federal public health system.”
By creating a unified, transparent, and resilient data exchange, we transformed how public health data flows across levels of government.
We enabled faster delivery of critical information, earlier identification of data issues, and greater confidence in system outcomes, even as scale and complexity increased.
This modernization effort established a durable foundation for national public health data exchange—one that can evolve over time without disrupting the mission it supports.