See how SAS Health simplifies integration and accelerates discovery
Key features
Simplify health data management and accelerate analytical discovery with an end-to-end enterprise solution that enables confident decision-making. Gain valuable insights into the quality and cost of care. Predict future needs of patients, members and clinicians. Drive enhanced patient care and outcomes, improved clinician experience, and optimized cost management and resources.
Turnkey data ingestion
Easily ingest your data that follows industry-standard formats and sources, such as FHIR.
Secure access to systems
Establish secure access to your various systems, data sources and applications.
Data integration
Integrate fragmented data, use advanced analytics and build easy-to-understand visualizations to unlock analytic insights faster.
SAS Viya Copilot for Clinical Data Discovery
Accelerate data discovery by enabling natural language search. Reduce reliance on technically skilled resources to gather, refine and produce analytics-ready data sets to drive better clinical or business outcomes.
Low-code/no-code interface
Easily ingest FHIR data using our low-code/no-code interface, which enables anyone to create and consume insights that lead to better decision-making.
Embedded machine learning & AI
Use AI/ML predictions to enhance your descriptive analytics and gain insights that support better decision-making across your entire organization. Transparent AI/ML models help you to anticipate member and patient needs.
Open-source capabilities
Easily integrate teams and technology across the analytics life cycle, enabling all types of SAS and open-source users to collaborate.
Flexible deployment options
Take advantage of our cloud-native and cloud-agnostic platform with complete portability across on-premises, hybrid or multicloud environments.
Add-on capabilities
SAS Health Cost of Care Analytics
Create customized clinical definitions – including clinical associations, attribution, utilization and risk – for use in population health studies or clinical research. Combine data from different sources to construct and analyze claims as episodes of care to improve the quality and cost of care.
Why choose SAS Health Solutions?
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SAS Health Solutions frequently asked questions
What are SAS Health Solutions?
SAS Health is an integrated suite of AI and analytics software designed to help healthcare organizations – including payers, providers and public health agencies – turn fragmented data into actionable clinical and operational insights. Built on the SAS Viya platform, it combines data management, governed AI and specialized health analytics to improve patient outcomes and optimize the cost of care.
How does SAS Health simplify the ingestion of EHR and claims data from different sources?
With SAS Health, you can unify disparate data sources, including Electronic Health Records (EHR) and medical claims. It natively supports industry standards such as HL7 FHIR R4, enabling organizations to bypass manual mapping and accelerate the transition to a unified longitudinal patient view.
Can nontechnical staff perform data discovery without knowing SQL or Python?
Yes. Through the SAS Viya Copilot, users can use natural-language search to ask complex questions about patient cohorts or operational trends. The AI-powered assistant translates these natural language queries into SQL, enabling nonclinical users to generate insights quickly without relying on IT resources.
How does SAS Health help payers and providers manage the total cost of care?
SAS Health Cost of Care Analytics provides a transparent "episodic engine" that groups clinically related services into defined episodes of care. This allows organizations to identify cost variations, attribute performance to specific providers and predict complication costs to optimize value-based payment models.
How does SAS ensure that AI models used in health care are unbiased and auditable?
Trust is central to SAS. The platform includes built-in bias monitoring and model explainability features. Every AI-driven insight provides a clear audit trail, ensuring that clinical and financial models are transparent, free from black-box logic and support regulatory compliance.