SAS Health Solutions

Discover your future in digital health analytics.

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

Adopt an end-to-end solution for health data integration, management and analytics.

SAS Health is an end-to-end enterprise solution for data integration, data management, automation and analytics. Consolidate your data under a faster and more productive AI and analytic platform that operates across the entire analytics life cycle, helping you address complex health care topics faster and more effectively.

Facilitate secure, streamlined data access and 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.


Empower everyone with trusted analytic insights.

With SAS Health, all users across your health care organization and ecosystem can access analytic insights, whether they prefer to code or use a low-code/no-code interface. SAS Viya includes built-in bias monitoring and repeatable explanations of data, models and predictions, which gives you peace of mind for equitable health decisions. This enables you to make transparent, explainable and fair decisions in governed, regulated environments.

Visualize and analyze cohort data.

SAS Health Cohort Builder enables you to build, visualize and analyze patient cohorts and the effect of inclusion/exclusion criteria on patient populations in an interactive, drag-and-drop interface – no coding required. Easily identify population subsets, clinical events and associations to better understand the differences in health outcomes within a specific subpopulation. You can save cohort definitions for reuse, modify them and apply them to other real world data assets for comparisons across populations, saving time and resources. Validate results and do further analysis using in-memory analysis and visualization in SAS or other technologies (e.g., R, Python and third-party visualization tools).

Quickly assemble clinical/chronic events.

SAS Health Episode Builder puts the power to see – and edit – episode definitions in your hands. SAS applies fully documented logic to create episodes of care, and the logical business rules are transparent and auditable at any time. Instead of spending weeks to manually code events, your team can now focus on communicating results to analysts and clinicians.

Visualize and analyze trends in health data to optimize care and costs.

Interactive cohort and episode builders provide easy-to-use, point-and-click interfaces. This makes it easy to identify population subsets, clinical events and associations so you can better understand the differences in health outcomes within a provider network, clinical research or in the general population. Combined with embedded machine learning and AI, these capabilities deliver enhanced insights that you can align with your organizational strategy.

Efficiently adjust for risk and severity in population health or claims data.

SAS Health Episode Builder facilitates risk adjustment through repeatable and transparent processes. Built-in models help analytic leaders understand population-level cost drivers, comorbidities and expected outcomes for specific episodes of care. Financial analysis supports risk management professionals, as well as clinicians who want to optimize treatment pathways.

Key Features

Simplify health data management and accelerate analytic discovery with an end-to-end enterprise solution for analytics and data automation. Gain valuable insights on the quality and cost of care. Make transparent and explainable decisions in governed, regulated environments. Drive enhanced patient care and outcomes, improved clinician experience, 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 & enrichment

Bring together and enrich health and non-health data sources, and prepare data for analytics. Manage data and analytic model lineage. Refresh analytic model and cohort analysis results as new data arrives.

Data refresh schedule optimization

Schedule your data ingestion in advance, so you can pick a time most suitable for your health organization and optimize data refresh timings.

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 for better decision making across all parts of your 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 multi-cloud environments.

Add-On Capabilities

Patient cohort creation

Build, visualize and analyze patient cohorts and the effect of inclusion/exclusion criteria on patient populations using an interactive, drag-and-drop interface with no coding required.

Interactive clinical event builder

Create customized clinical definitions – including clinical associations, attribution, utilization and risk – for use in population health studies or clinical research.

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 cohorts.
  • Create customized clinical/chronic events.
  • Optimize inclusion/exclusion criteria on real-world data.

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