SAS Health

SAS Health is an integrated suite of AI and analytics software built on the SAS Viya platform, designed for healthcare organizations including payers, providers, public health agencies and life sciences companies. It addresses complex healthcare challenges by consolidating fragmented data into a unified platform that supports data management, governed AI, cohort generation, clinical event analytics and cost-of-care analysis.

The solution supports ingestion of industry-standard data formats such as HL7 FHIR R4, enabling organizations to move toward a unified longitudinal patient view without manual mapping. It provides both code-based and no-code/low-code interfaces, allowing technical and non-technical users alike to access, explore and act on health data.

Core Capabilities

• Turnkey data ingestion: Ingests data following industry-standard formats and sources, including FHIR, with a low-code/no-code interface for creating and consuming analytics-ready data sets.
• Secure system access: Establishes governed access to various health care systems, data sources and applications, supporting regulatory compliance through optimized data models in a single location.
• Data integration: Integrates fragmented data from disparate sources, including Electronic Health Records (EHR) and medical claims, and supports advanced analytics and visualization.
• Embedded machine learning and AI: Uses AI and ML predictions to enhance descriptive analytics, with transparent models that support anticipating patient and member needs across the organization.
• Bias monitoring and auditability: Includes built-in bias monitoring and model explainability features, providing a clear audit trail for clinical and financial models to support regulatory compliance.
• Open-source capabilities: Supports collaboration across SAS and open-source users throughout the analytics life cycle.
• Flexible deployment: Available as a cloud-native, cloud-agnostic platform with portability across on-premises, hybrid and multicloud environments.

SAS Viya Copilot for Clinical Data Discovery

• Uses AI-powered natural-language search to accelerate data discovery across health care data sets.
• Translates natural language queries into SQL, enabling non-technical users to generate reports and insights without relying on IT or data engineering resources.
• Supports informed decisions about patient care, operational performance and cost management.

SAS Health Cost of Care Analytics (Add-On)

• Combines data from multiple sources into a user-friendly interface to provide a full picture of care pathways, outcomes and costs.
• Constructs and analyzes claims data as episodes of care using transparent, customizable clinical definitions, including clinical associations, attribution, utilization and risk.
• Quantifies cost differences at the treatment, patient and population levels, and predicts typical and complication costs.
• Determines average episode cost and compares provider efficiency against peers.
• Supports risk adjustment by condition, provider attribution to episodes of care, and assessment of provider performance and cost impact of comorbidities.

Use Cases by Organization Type

• Payers and providers: Optimize patient journeys and treatment pathways, visualize and optimize resources and costs, drive enhanced clinical care and patient outcomes, predict future needs of patients and members, and access prebuilt patient-severity and risk-adjustment models.
• Public health agencies: Integrate and analyze population data, design interventions for whole-person health, proactively identify and respond to public health threats, oversee performance of health care facilities and professionals, and support data-driven policy making including modeling the impact of policies on enrollment, utilization and budgets.
• Life sciences companies: Monitor and facilitate compliance, and create customized clinical and chronic event definitions.

Related and Integrated Products

• SAS Viya platform — the underlying analytics and AI platform on which SAS Health is built.
• SAS Payment Integrity for Health Care — for preventing, detecting and managing payment integrity issues.
• SAS Life Science Analytics Framework — for managing transformation, analysis and reporting of clinical trials data.
• SAS Clinical Enrollment Simulation — for building and evaluating clinical trial enrollment plans using simulation.

SAS Health supports deployment across on-premises, hybrid and multicloud environments and is designed to integrate with existing health care systems and open-source tooling. The platform's AI features include plain-language explanations of data, models and predictions, supporting both clinical and operational decision-making with transparency and auditability.