Drive trusted health innovations and unlock analytic insights faster for confident decisions at every moment

Screenshot of SAS Health Ingest with Highlights

SAS Health Solutions

Discover your future in digital health analytics.



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?

Payers and providers use SAS Health Solutions to:

  • Optimize the patient journey and treatment pathways.
  • Visualize and optimize resources and costs.
  • Drive enhanced clinical care and patient outcomes.
  • Predict future needs of patients, members and clinicians.
  • Access prebuilt patient-severity and risk-adjustment models.

Public health agencies use SAS Health Solutions to:

  • Integrate and analyze population data.
  • Design optimal interventions for whole person health.
  • Proactively identify and respond to public health threats.
  • Oversee the performance of health care facilities and professionals.
  • Support data-driven policy making, and model the impact of policies on enrollment, utilization and budgets.

Life sciences companies use SAS Health Solutions to:

  • Monitor and facilitate compliance.
  • Create customized clinical/chronic events.

Recommended resources on 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.

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