SAS Health Solutions
Discover your future in digital health analytics.
See how SAS Health simplifies integration and accelerates discovery
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Adopt an end-to-end solution for health data integration, management & analytics
SAS Health is an end-to-end solution for health data integration, management, analytics and AI-driven insights. Address complex health care challenges faster and more efficiently by consolidating your data on our unified health care data and AI platform.
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Facilitate secure, streamlined data access & regulatory compliance
With SAS Health you can easily ingest data from industry-standard formats, and manage secure access to a variety of health care industry-specific data sources, applications and systems. Support regulatory compliance by creating optimized data models for analytics in one place.
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Gain trusted insights
Foster trust and independence by empowering all users to explore data securely and confidently, whether they prefer to code or use a no-code/low-code interface. SAS® Viya® delivers understandable insights with AI through plain-language explanations of data, models and predictions, built-in bias monitoring and full auditability. Use new insights and out-of-the-box reports to identify trends and outliers early.
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Accelerate data discovery with natural language search
SAS Viya Copilot for Clinical Data Discovery uses AI‑powered natural‑language search to accelerate data discovery across health care data. Translating raw data into clear, actionable insights enables health care professionals to generate reports and make informed decisions about patient care, operational performance and cost management, without relying on technical resources.
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Unlock insights into the cost of care
With SAS Health Cost of Care Analytics, you can combine data from different sources into an intuitive, user-friendly interface to get a full picture of care pathways, outcomes and costs. Construct and analyze claims data as episodes of care using your choice of transparent clinical definitions.
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Improve cost efficiency
SAS Health Cost of Care Analytics allows you to quantify differences at the treatment, patient and population levels to provide an analysis of the cost impacts. Benefit from analysis that predicts typical and complication costs. Determine the average episode cost and the efficiency of providers in comparison to peers.
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Better understand risk & provider attribution
Define and analyze patient risks and examine risk adjustment by condition. Attribute providers to episodes of care to measure cost and quality of care and assess provider performance. Quantify the cost impact of comorbidities and episode variation. Use this information to optimize care and predict expected costs for patients.
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?
Recommended resources on SAS Health Solutions
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E-BOOK
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AI Innovation throughout the life sciences value chain -
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Your journey to a GenAI future: A strategic path to success in health care -
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Your journey to a GenAI future: A strategic path to success in life sciences and pharma -
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Advanced analytics helps hospital put patients at the heart of improved outcomes -
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Improving HCP Engagement with Digital Analytics -
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Optimizing cancer patient care with advanced analytics -
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Advanced analytics in the cloud helps international biopharmaceutical group enhance operations and efficiency -
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Hospitals save time and money with real-time medical device tracking -
기사
Analytics leads to lifesaving cancer therapies -
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Are you covering who you think you’re covering? -
고객 사례
Improving data collection and modeling to accelerate predictive medicine efforts -
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Containing health care costs: Analytics paves the way to payment integrity -
기사
Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction -
고객 사례
Analytics helps major public health system run efficient programs and improve patient care -
고객 사례
SAS Viya and open source: Innovation through collaboration -
고객 사례
Italy’s second-largest hospital uses advanced analytics for effective pandemic response -
고객 사례
A healthier planet through bioscience innovation -
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Public health infrastructure desperately needs modernization -
고객 사례
Maximizing the reach and impact of an eHealth hub -
고객 사례
Predictive analytics helps save lives during COVID-19 pandemic -
고객 사례
Transforming mental health care in California, turning data into insight -
기사
Finding COVID-19 answers with data and analytics -
기사
How health care leaders deployed analytics when crisis hit -
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Situational awareness guides our responses – routine to crisis -
고객 사례
Ensuring mental health patient safety during a global pandemic -
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Saving lives during a global pandemic through medical resource optimization -
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Will health care be fundamentally changed post-COVID-19? -
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Advancing mental health care with predictive analytics -
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The transformational power of evidence-based decision making in health policy -
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IoT in health care: Unlocking true, value-based care -
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Using Modern Analytics to Save Government Programs Millions -
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Artificial Intelligence for Executives -
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Analytics startup focuses on health care optimization -
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Behavioral Health in the Health Care IT Ecosystem -
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Text Analytics for Executives -
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Using analytics to prevent deadly infections -
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Health care cost containment through big data analytics -
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Achieving program integrity for health care cost containment -
기사 인사이트 페이지 Insight(영문)
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기사
Detecting health care claims fraud -
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Can data sharing lead to cancer discoveries? -
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Analytic simulations: Using big data to protect the tiniest patients -
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Analytics for prescription drug monitoring: How to better identify opioid abuse -
E-BOOK
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Better alignment of incentives: Helping cure data analytics in health care -
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How researchers are fighting cancer with analytics -
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Optimize Your Launch Sequence Strategies -
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Why you should care about episode analytics -
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Big data in health care -
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The Road to Value-Based Health Care -
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Analytics at the edge -
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Empowering Life Sciences With Secure, Accessible Information -
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How Public Sector Agencies Can Use Analytics to Lead Through Crisis -
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Modernizing Healthcare Analytics on the Cloud: Experiences from the Front Lines -
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The Speed of Digital Disruption: Sustaining Transformation in Health Care and Life Sciences -
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AI in Health Care: Enhance Clinical and Operational Decision Making -
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From Idea to Action: The Keys to Real-World Evidence and Analytics -
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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.