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.
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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.
Explore More on SAS Health Solutions and Beyond
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電子書
Data-driven health careThe use of technology and data in the health care ecosystem continues to evolve. An extreme emphasis has been placed on digital health, AI, and the need for interoperability across various stakeholders in the healthcare ecosystem. Interoperability of different health care systems and devices to seamlessly exchange information is crucial to provide stronger health outcomes and patient engagement opportunities, enhance patient safety and operational efficiency, and reduce duplicated effort and potential for error.Discover how health care powered by data and technology will be the springboard to the future.
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電子書
Strike a balance by uncovering your blind spots.The asset will be utilized in marketing campaigns to educate prospects on the advantages of SAS Intelligent Planning. The asset highlights proven improvements in productivity and forecast accuracy through compelling customer stories.
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電子書
Your journey to a GenAI future: A strategic path to success in health careGenAI is at the forefront of global health care innovation and is here to stay. Health care organizations at large are leaning into the promise of advanced technologies with the intent to streamline operations and deliver stronger health outcomes for patients all over the world. But in a highly regulated, protected and data-sensitive sector, how is this technology being used? And how will health care organizations keep patient data safe while implementing cutting-edge technologies like GenAI?
In this report, you’ll discover:
• How health care organizations are approaching GenAI adoption compared with other sectors.
• The specific areas where health care already sees GenAI drive results – and where they’re still navigating uncertainty.
• How GenAI investments in health care stack up against other sectors and where these industries are placing their bets.
• Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
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電子書
Your journey to a GenAI future: A strategic path to success in life sciences and pharmaAs generative AI continues to make waves across both headlines and boardrooms, the life sciences industry is unlocking new possibilities that could reshape the future. This sector, known for managing vast, intricate data sets and safeguarding sensitive patient information, is poised to harness GenAI for groundbreaking advancements. In life sciences, GenAI isn’t just a buzzword – it’s a game changer with the potential to revolutionize innovation, productivity and patient care.
Our latest insights on GenAI come from a comprehensive survey of 1,600 organizations across the globe, offering a deep dive into how different industries are approaching GenAI. Specifically, we focused on the responses of 237 senior life sciences leaders who are at the forefront of shaping GenAI, data and analytics strategy.
In this report, you’ll discover:
• How the life sciences industry is leading or lagging in GenAI adoption compared with other sectors.
• The specific areas where the industry is already seeing GenAI drive results – and where it is still navigating uncertainty.
• How GenAI investments in life sciences stack up against other sectors and where the industry is placing its bets.
• Practical strategies to overcome the challenges of GenAI implementation, ensuring you maximize your return on investment (ROI) and stay ahead of the curve.
Related Offerings
- SAS® Asset Performance AnalyticsHarness M2M and sensor data to boost uptime, performance and productivity while lowering maintenance costs and reducing your risk of revenue loss.
- SAS® Clinical Enrollment SimulationBuild and evaluate faster, more strategic enrollment plans using simulation.
- SAS® Life Science Analytics FrameworkEfficiently manage the transformation, analysis and reporting of clinical trials data with a single, cloud-based pharma analytics framework.
