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?
Recommended resources on SAS Health Solutions
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- E-Book Transforming health care workforce management
- E-Book AI Innovation throughout the life sciences value chain
- E-Book Building Agile Supply Chains in Pharmaceuticals
- Технический документ A pragmatic AI framework for health care providers
- E-Book Making health care work for everyone
- E-Book Data-driven health care
- E-Book Strike a balance by uncovering your blind spots.
- E-Book Your journey to a GenAI future: A strategic path to success in health care
- E-Book Your journey to a GenAI future: A strategic path to success in life sciences and pharma
- E-Book Public service of the future
- Технический документ Generative AI in Health Care: Opportunities and Cautions
- Аналитический отчет The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- E-Book Detect and halt risky payments across the life sciences supply chain
- E-Book The future of public health: Building more resilient infrastructure for better health outcomes
- Технический документ Improving HCP Engagement with Digital Analytics
- Технический документ The connected patient in decentralized clinical trials
- Технический документ Transforming clinical trial design and execution
- Технический документ The road to health equity
- Технический документ An Inflection Point for Opioids
- Article Public health infrastructure desperately needs modernization
- Article Finding COVID-19 answers with data and analytics
- Article Ситуационная осведомленность определяет нашу реакцию
- Customer Story Как обеспечить безопасность пациентов с психическими расстройствами во время пандемии?
- Article Спасти жизнь в период пандемии, оптимизируя медицинские ресурсы
- Article Will health care be fundamentally changed post-COVID-19?
- Article Почему аналитическая совместимость важна в здравоохранении?
- Article Визуализация данных для отслеживания распространения коронавируса
- Customer Story Повышение качества психиатрической помощи с помощью предиктивной аналитики
- Customer Story Уменьшение внутрибольничных инфекций с помощью искусственного интеллекта
- Article The transformational power of evidence-based decision making in health policy
- Article Как использовать ИИ для выявления рака
- Article Использование глубокого обучения для сегментации опухоли в медицинских изображениях
- Article Построение передней части пайплайна компьютерного зрения
- Article Доработка модели глубокого обучения для обнаружения объектов
- Article Демо глубокого обучения для обнаружения опухолей печени при КТ-сканировании
- Customer Story Достижения в области здравоохранения, основанные на анализе ДНК
- Customer Story Автоматизированные лаборатории увеличивают работоспособность с помощью аналитики
- Аналитический отчет SAS is a Strong Performer in The Forrester Wave™: Healthcare Analytics, Q4 2018
- Article IoT in healthcare: Unlocking true, value-based care
- Аналитический отчет Top Strategic IoT Trends and Technologies Through 2023
- Article Аналитика как инструмент для борьбы с зависимостью от рецептурных сильнодействующих препаратов и незаконно приобретенных наркотических веществ
- Технический документ Fighting Insurance Application Fraud
- Технический документ Using Modern Analytics to Save Government Programs Millions
- Технический документ Artificial Intelligence for Executives
- Технический документ Behavioral Health in the Health Care IT Ecosystem
- Технический документ Text Analytics for Executives
- Article Health care cost containment through big data analytics
- Технический документ Achieving program integrity for health care cost containment
- Article Detecting health care claims fraud
- Article Может ли обмен данными излечить рак?
- Article Аналитическое моделирование: использование больших данных для защиты маленьких пациентов
- Article Analytics for prescription drug monitoring: How to better identify opioid abuse
- E-Book Innovation driven by strategy
- Article Better alignment of incentives: Helping cure data analytics in health care
- Research Containing health care costs: Analytics paves the way to payment integrity
- Article Analytics. Fighting cancer for more than 40 years.
- Article Stopping the Zika virus: The potential of big data, analytics
- Технический документ Optimize Your Launch Sequence Strategies
- Article Why pharmaceutical firms are investing in real-world evidence
- Article Why you should care about episode analytics
- Article Большие данные в сфере здравоохранения
- Технический документ The Road to Value-Based Health Care
- Технический документ Empowering Life Sciences With Secure, Accessible Information
- E-Book Powering Health Innovation with AI
- Технический документ How Public Sector Agencies Can Use Analytics to Lead Through Crisis
- Технический документ Modernizing Healthcare Analytics on the Cloud: Experiences from the Front Lines
- Технический документ The Speed of Digital Disruption: Sustaining Transformation in Health Care and Life Sciences
- Технический документ Fighting the Rising Tide of Medicaid Fraud
- Технический документ Decentralized clinical trials: From evolution to revolution
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.