SAS^® Health

SAS^® HEALTH

Discover your future in digital health analytics.

Simplify your health data landscape and expand your analytical horizons. Integrate real-world data. Rapidly create patient cohorts. Detect and visualize clinical events. Gain valuable insights on quality and cost of care. Drive enhanced patient outcomes and medical products.

Embedded machine learning & AI

Unleashes the full potential of your data to improve population health, accelerate therapeutic discovery and development, and automate clinical processes.

Analytic accelerators for health care & life sciences

Provides a library of proven models and analytic techniques to expedite exploration and discovery within a single, unified environment.

Interactive, near-real time cohort generator

Enables you to identify research cohorts without coding. Complex queries can go beyond simple subsetting to selecting criteria with multiple temporal relationships and Boolean logic.

Interactive clinical event builder

Lets you quickly create customized clinical event associations or select from a library of prebuilt event definitions for use in population health studies or clinical research.

Data integration & management

Brings together and enriches health and nonhealth data sources and prepares data for analytics. Manages data and analytic model lineage. Refreshes results of analytic model and cohort analysis results as new data arrives.

Provides machine learning, AI and visualization capabilities for addressing relevant health care and life sciences business challenges.

Open source capabilities

Fosters collaboration within your analytic ecosystem by enabling you to utilize open source capabilities (Python, R, Java, etc.) within a unified environment.

Flexible deployment options

Runs on commodity hardware, in a private or public cloud infrastructure, or as managed software as a service (SaaS).

Accelerate time to value and discover new insights with industry-specific analytics and guided interactive visuals.

Visualize and analyze cohort data.

SAS Health: Cohort Builder provides an interactive, drag-and-drop interface for querying and building cohorts with temporal relationships – no coding required. You can easily explore cohort characteristics and the effect of inclusion/exclusion criteria on patient populations to determine study feasibility. You can save cohort definitions for reuse, modify them and apply them to other real world data assets for comparisons across populations, which saves 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. Prebuilt events are defined in the solution metadata, then SAS applies fully documented logic to create episodes of care. 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 episodes of care using a library of prebuilt event definitions.

Interactive analytic accelerators – including a cohort generator and episode builder – 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 consume and standardize clinical data.

SAS Health: Data Mapper creates libraries of verified data maps that transform data from source entities into standard formats that meet clinical and regulatory standards. The mappings are available for repeatable transformations, improving efficiency and accuracy.

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

SAS Health facilitates risk adjustment 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.

Achieve breakthrough success wherever you are on your analytic journey.

Make your operational systems smarter with embedded analytics. Deploy model results, such as clinical propensities or risk scores, into operational systems for faster insights delivered at the point of decision – and a greater ROI. Ready to expand your analytic journey? Easily add unstructured and streaming data to your structured data using prebuilt capabilities. You can also add text analytics and natural language processing to your predictive models. With the power and flexibility of SAS, you can establish a foundation for repeatable, industry-specific applications that help you successfully navigate change in the market.

How Life Sciences Companies Use SAS^® Health

Life sciences companies use SAS^® Health to:

Model adherence/compliance.
Generate cohorts.
Create customized clinical/chronic events.
Optimize inclusion/exclusion criteria on real-world data.

Explore life sciences industry solutions from SAS

How Payers & Providers Use SAS^® Health

Payers and providers use SAS^® Health to:

Optimize the patient journey and treatment pathways.
Visualize resource use, cost and patient outliers.
Anticipate potentially avoidable complications.
Access prebuilt patient-severity and risk-adjustment models.

Explore health care industry solutions from SAS

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