On-Demand Webinar

Public Health Reimagined:
The Frontier of Government Health Technology

Learn how analytics and data-driven solutions can help modernize and scale crucial health care infrastructure and services

About the webinar

Decades of funding reductions have obstructed progress in what is now a health system and infrastructure in disrepair. This has not gone unnoticed by the public, and renewed attention to public health is providing the resources and collaboration for a reimagined system. Modernization of this infrastructure is crucial to combating opioid use disorder, maternal morbidity/mortality and cancer by recognizing social determinants of these issues and intervening at scale. All of this can be achieved with the power of advanced analytics.

Join SAS public health experts for a two-part, on-demand series, in partnership with Amazon Web Services (AWS), that will help bring public health agencies into the future. With AWS cloud, we’ll cover data infrastructure and preparation for SAS analytics. We’ll show how data analysis and visualization allows epidemiologists and data scientists to work collaboratively in the same environment, whether preparing reports for public consumption or sharing status updates with the public.

When you register for this webinar you will also have access to the white paper From the Ground Up: Key Steps to Modernizing Public Health Infrastructure.

You’ll learn how to:

  • Use a cloud-based, structured data foundation to create remarkable speed and efficiency in accessing data.
  • Capture patient-centric data for multiple events, whether acute or longitudinal.
  • Get innovative visualization with built-in advanced analytics for users of any ability.
  • Understand why improving how data is captured and shared at the US population level is critical for modernization.
  • Identify and classify at-risk patients efficiently for investigative case management.
  • Improve the monitoring of disease progression with proactive notifications to experts of trends forming in cohort populations at the federal, state and local levels.