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Unlock actionable insights faster with health analytics solutions for optimal care and health outcomes

Health outcomes solutions

With SAS Health, you can integrate data from multiple sources into a unified, shared platform for actionable insights to improve health outcomes, care quality, processes and satisfaction.



Improve health outcomes

Health analytics tools from SAS enable you to combine data from different sources and then apply advanced analytics with embedded AI to get tangible results that you can act on to improve quality and outcomes.

Enhanced clinical, financial and operational decisions

Efficiently integrate health and non-health data from multiple sources into a unified, shared platform to improve clinical, financial and operational efficiencies.

Risk factors and demand forecast

Understand risk factors in individuals and populations through a unified, shared platform to make informed decisions about care pathways. Forecast demand for services needed.

Transparent patient care and regulatory compliance decisions

Built-in bias monitoring and repeatable explanations of data, models and predictions provide peace of mind for equitable and ethical health decisions.

Measure return on investment in health analytics

Create custom views that help to quantify impact and ROI on workflows, care outcomes, satisfaction and programs to convince leadership to continue to invest.

Comprehensive digital patient profile

Enable patients, providers and payers to use data for health decisions to improve satisfaction and retention. 

How SAS delivers award-winning health outcomes solutions

  • The Healthy Nevada Project improves population health by combining genetic data with environmental, social and health care data to predict, prevent and treat diseases.

  • The Oscar Lambret Center optimizes personalized cancer care pathways and workforce management by integrating data from multiple sources into a unified, shared platform.

  • Hospitals in the Region of Southern Denmark increase patient safety by predicting, monitoring and reducing hospital-acquired infections using analytics and AI.

    SAS Viya: The data and AI platform for your health care business

    Unlock trusted health insights faster to improve health outcomes, control costs, increase operational efficiency and build healthier, more resilient communities.


    Recommended resources for health outcomes solutions

    e-book

    Data-driven health care: How interoperability improves outcomes and efficiency

    White paper

    Integrating data. Enhancing decisions. Improving lives.

    Webinar

    Health Analytics in Action

    Responsible innovation

    Read about our commitment to ethical, human‐centered innovation


    SAS is a leader in health operations and experience solutions

    SAS is a Leader in The Forrester Wave: Real-Time Interaction Management, Q1 2024.

    SAS is a Leader in the 2024 Gartner® Magic Quadrant for Data Science and Machine Learning.

    SAS is a strong Leader in the inaugural report Forrester Wave: AI Decisioning Platforms, Q2 2023.


    Featured Products

    Learn more about our best-in-class products for combining health and non-health data from different sources into one dashboard and innovative AI applications to make informed health decisions.

    SAS Health Solutions

    SAS Health simplifies health data management and accelerates analytic discovery by providing an end-to-end enterprise solution for analytics and data automation.

    • Adopt an enterprise solution for improved interoperability through an end-to-end capability for health data integration, data management, automation and analytics.
    • Easily ingest data from industry standards and map to a FHIR-based common data model in less time.
    • Combine health and non-health data for industry-specific business solutions.
    • Deploy a low-code/no-code environment for data exploration, advanced analytics and model deployment.

    SAS for Transforming Health Outcomes I Powered by Azure

    Improve clinical and operational insights through AI-driven, predictive analytics.

    • Use insights to predict demand and optimize operations.
    • Make each patient touch point more relevant with proactive, data-driven insights.
    • Improve efficiency and increase the value of analytics through a secure, governed cloud-based infrastructure.
    • Expand the use of data-driven insights across clinical and operational teams.