Public Sector Analytics Solutions for Public Health & Government Health Care

Trusted data foundation

• Realize efficiencies in data preparation, integration, access, reporting and visualization.
• Bring a new level of stability and structure to your data systems.
• Maximize public health insights by interconnecting health data.

Real-time case management

• Establish a flexible, adaptable foundation for epidemiological investigations.
• Customize for widespread use in public health reporting, from lead screenings to infectious disease cases and beyond.
• Use a single platform for case management functions for programs such as HIV or hepatitis.

Dynamic disease surveillance & reporting

• Create a single, collaborative space for data prep, analytics and visualization.
• Use epidemiological modeling to support real-time decision making.
• Develop automated reports for internal surveillance and public information.

Improve the stability & structure of your data systems

Gain faster insights and efficiencies with an analytic and data management platform that runs on a modern, scalable and interoperable architecture.

Unify analytic assets for deployment & governance

Achieve unparalleled coordination between various statistical languages – including open source – reducing time from analysis to insight and fostering collaboration across your organization.

Capture critical health data through investigative case management

Adopt a single platform for investigating, cleansing, analyzing and visualizing data, whether your focus is infectious or chronic disease, or simple surveillance.

Experience real-time reporting capabilities

Detect and respond to public health threats faster – from a public-facing water quality report to chronic disease registries analysis and beyond.

Predict trends & identify threats to human health

Use advanced analytics to reduce the time from detection to action in order to save lives and prevent future public health crises. By uniting all the tools public health needs in one modular solution, SAS speeds time to value and improves efficiencies.

Enhance program evaluation

• Monitor program performance against goals and objectives.
• Determine the generalizability of program findings to scale effective interventions.
• Obtain timely insights into the quality and impact of programs and policies.

Advance equity

• Apply quantitative and qualitative analyses to achieve whole person care.
• Optimize diversity and inclusion strategies through advanced analytics and modeling.
• Identify the most accurate models for determining health disparities, including leveraging social determinants of health.

Strengthen program integrity

• Minimize improper payments using proven AI algorithms.
• Use leading technologies like social networking and machine learning to proactively identify potential cases of fraud, waste and abuse.
• Gain a holistic view of a recipient or provider to better detect anomalies or discrepancies across government programs or systems.

Support value-based care

• Identify variables that drive utilization.
• Use performance metrics to ensure equitable and quality care provision.
• Strengthen accountability by examining health outcomes and identifying gaps in care.
• Review progress longitudinally and identify policies that support population health improvement.

Support data-driven policymaking & program evaluation

• Aggregate data sources to create an accurate and comprehensive view of resources, utilization and individuals for population health and quality improvement.
• Explore and visualize key trends impacting operations and outcomes.
• Model interventions to determine affect and forecast future demand.
• Provide flexible what-if analyses with minimal coding for regulatory policy changes, econometrics and fiscal impact.

Optimize health care resources

• Anticipate health care resource needs to better prioritize and allocate resources.
• Monitor hospital capacity and critical care beds across a network of facilities.
• Optimize equipment and supply inventories using streaming data from IoT devices.
• Analyze workforce conditions, strengths, and vulnerabilities to identify trends, risks, and skills gaps in time to act up on them.

Measure & model population health outcomes

• Gain a holistic view of utilization and outcomes across health and nonhealth services with innovative, proven analytics.
• Design, develop and deploy analytics interactively and effectively.
• Enable your data scientists to build, govern and deploy models in their programming language of choice, allowing easy sharing and consumption of model outputs.

Increase transparency & accountability in government health programs

• Achieve operational efficiencies, democratize data access and inform data-driven decisions with a single, integrated analytics platform.
• Assess cost and quality, identify gaps in care, forecast demand and model the impacts of program decisions using dynamic visualizations and advanced analytics.

Manage costs & eliminate waste

• Understand cost drivers, episodes of care and quality metrics.
• Detect, prevent and manage fraud, waste and abuse using industry-leading hybrid analytics.
• Identify emerging trends sooner using a single, integrated platform with enhanced alerting and leading technologies.