SAS^® Health Solutions

SAS Health Solutions Features List

Health & Life Sciences solutions

Empower providers, public health and life sciences organizations to drive trusted health innovations and accelerate time to value with SAS Health Solutions.
Unlock explainable insights faster to make confident decisions at every moment.
End-to-end solutions for health data integration, management, automation and analytics.
Connect to internal or external data from point-of-care systems, electronic health records, insurance claims, patient-reported outcomes, health devices and trusted third-party data providers, as well as non-health data sources.
Provide machine learning, artificial intelligence and visualization capabilities for addressing pertinent industry-relevant business challenges.

Easily ingest data from FHIR servers, FHIR bundles or via CSV into a health care data model.
Effortlessly transform data into a standardized health care data model.
Smooth integration across modern, scalable enterprise databases.
Establishes secure access to various systems, data sources and applications.
Automates incremental data loading for faster decision-making, reporting and analytics.

Integrates health and non-health data sources, and prepares data for analytics. Manages data and analytic model lineage.
Explore, visualize and report insights from real world data sources.
Identify treatment pathways, gaps in care and barriers to reimbursement.
Includes techniques such as clustering, decision trees, linear regression, logistic regression, generalized linear models, generalized additive models and nonparametric logistic regressions.
Use new insights and out-of-the-box reports to identify trends and outliers early, improving patient care and resource management.
Gain understandable insights with AI through plain-language explanations of data, models and predictions, built-in bias monitoring and full auditability.
Translate raw data into clear insights and guidance without needing technical expertise, helping health care professionals create reports and make informed decisions about patient care, operations and costs.

Empower all users to explore data securely and confidently, whether they prefer coding or using a no-code/low-code interface.
Enables all users to participate and have analytic insights at their fingertips.

Validate and ingest data easily into the SAS Health common data model and create data repositories, driving efficiency and a faster time to value.
Construct and analyze claims data as episodes of care using your choice of transparent clinical definitions. Incorporate patient and population data for effective decision-making about quality, outcomes and cost.
Build clinical associations between episodes for holistic patient views.
Quantify differences at the treatment, patient and population levels to provide a full picture of the cost impacts.
Determine the average episode cost and the efficiency of providers in comparison to peers, given actual and risk-adjusted costs.

Cloud-native and cloud-agnostic with complete portability across on-premises, hybrid or multicloud environments.
Enables you to get the best models into production quickly or deploy them into the decision/workflow engine.
Lets you register models in a centralized repository for version control and simplified compliance processes.
Easily integrate teams and technology across the analytics life cycle, enabling all types of SAS and open-source users to collaborate.
Lets you refresh cohorts and analytic outputs based on data refreshed through process automation and common data models.

Translate raw data into clear insights and guidance without needing technical expertise, helping health care professionals create reports and make informed decisions about patient care, operations and costs.
Use transparent AI/ML predictions to enhance descriptive analytics and improve decision-making.