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Modernizing a public health system with Teradata’s connected analytic architecture

How do you accelerate disease prevention and response? Teradata provides a response to help accelerate public health infrastructure modernization.

Robert Paller
Robert Paller
2022년 6월 30일 3 최소 읽기
Modernizing public health with connected analytic architecture

The COVID-19 pandemic showed that data-driven decision-making is vital to address widespread public health concerns. Rapid access to public health data, along with a robust analytics system, is crucial—both now and in the future. The CDC’s Strengthening U.S. Public Health Infrastructure, Workforce, and Data Systems NOFO provides a once-in-a-generation opportunity for state, tribal, local, and territorial (STLT) public health jurisdictions to create modern, interoperable, and real-time public health and data surveillance systems.

This opportunity represents a first-of-its-kind moon shot to modernize and invent sustainable public health systems. By making billions of dollars available, this historic funding will allow practitioners to create systems that can meet evolving public health needs, no matter how complex they get.

Meet complex challenges with the right architecture

Modernizing a STLT jurisdiction’s analytic ecosystem promises tremendous benefits and opportunities to drive new outcomes and benefit from advanced analytics, AI, and ML technologies. To deliver, the analytic ecosystem must support a wide range of capabilities. Building a fully integrated analytic ecosystem requires a robust, enterprise-wide platform with the flexibility, scalability, and sustainability to support the massive amounts and diversity of data a public health department needs to detect, track, act on, and predict.

Meeting this challenge requires a connected analytic architecture for public health capable of supporting the analytic architecture pattern best suited for the analytic ecosystem in which it resides. We’ve created an architecture blueprint built on a cloud-first platform to be deployed in a hybrid, multi-cloud environment with a query fabric that integrates and connects it to the broader analytic ecosystem within the STLT environment.

Enable a cohesive public health system

The ability to collect, connect, and drive advanced analytical insights from these various systems creates and leaves behind a lasting fabric ensuring the usefulness of AI/ML, data model, and other investments while leaving open the ability to connect via API, data lake architectures, blob, and other storage mechanisms.

Teradata Vantage is uniquely capable of responding to the urgent need to modernize public health practitioners to enable the CDC and the STLT public health departments to move faster than disease and allow a public health workforce skilled in data science and informatics.

Accelerate disease prevention and response

Often, public health entities try to redesign their infrastructure on a piecemeal basis. This doesn’t work, causing a public health system to rely on disconnected and disparate data that allows the disease to win and needless loss of life through inefficiencies and lack of insight that wildly protract at scale (or in times of event). Our connected analytic architecture for public health enables the connection of your analytic ecosystem, and integrating data ensures that your public health department will have the correct data at the right time to predict and prevent outbreaks. Swift and impactful responses to health threats require processing complex analytics using all the data available to make continuously optimized decisions based on real-time data insights.

Achieve a completely connected, financially sustainable system

A connected analytics architecture for public health requires a level of openness, scalability, and flexibility that few can achieve in a financially sustainable way. We’ve outlined our connected analytic architecture for public health in response to this need. Teradata’s decades of experience in data management, advanced analytics, and continuous innovation have positioned us as leaders to support public health departments to protect Americans from new and complex threats around every corner.

Our CDC Modernization Grant team is ready to discuss with public health practitioners how our architecture for public health would be applied to your program’s operating environment and share insights into the grant structure and response format. Contact us right now or view our architecture in more detail.

약 Robert Paller

Robert Paller is a Solution Engineer for Teradata Government Systems, LLC, the division of Teradata supporting federal, state, and municipal government agencies in the United States. He is responsible for gathering requirements and architecting cloud-enabled analytic solutions for Teradata’s government clients.

In his 8 years with Teradata, Robert has worked as a senior professional consultant for Teradata Government Systems supporting the Centers for Medicare and Medicaid Services. He began his role as the lead operations and maintenance DBA for the Integrated Data Repository (IDR) where he established and maintained relationships with cross-functional teams and federal program managers. Robert worked as a performance DBA under the Large Scale Data Repository program balancing a complex mixed-workload environment with the competing interests of multiple organizations across the agency. Most recently, Robert worked supporting the technical operations team for one of the agencies largest programs on the IDR, the Center for Program Integrity. This program services the needs of over one thousand users responsible for identifying and prosecuting fraud, waste, and abuse in the Medicare and Medicaid Programs.

Prior to joining Teradata, Robert worked with the State of Michigan on a project that developed a solution to improve the accuracy of it’s Supplement Nutrition Assistance Program. After the solution was implemented, Robert moved into an operations and maintenance role as database administrator for the Department of Health and Human Services for the State of Michigan.

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