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.
Powered by the SAS® Platform
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.
Explore More on SAS® Health and Beyond
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- Séminaire web
- Customer Story Community outreach and support for COPD patients enhanced through natural language processing and machine learningText analytics and sentiment analysis from SAS help the COPD Foundation provide health resources and emotional support for patients and caregivers.
- Customer Story A data-driven approach to whole person careRiverside County relies on data integration and analytics from SAS to improve the health and well-being of vulnerable Californians.
- Article Finding COVID-19 answers with data and analyticsLearn how data plays a role in optimizing hospital resources, understanding disease spread, supply chain forecasting and scientific discoveries.
- Article How health care leaders deployed analytics when crisis hitDuring the COVID-19 pandemic, some health care providers were well-positioned to respond to rapid changes in demand. The factor that most distinguished them was that they already had a strong capacity in place for using data to inform decisions. Read about three key takeaways from their experiences.
- Article Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
- Customer Story Ensuring mental health patient safety during a global pandemicSAS delivers dashboard to monitor COVID-19 in the Copenhagen Regional Psychiatric Centers.
- Customer Story Pharmacy benefit manager slashes fraud, waste and abuse using artificial intelligencePrime Therapeutics saves its clients $355 million in 18 months with AI-powered SAS Detection and Investigation for Health Care.
- Séminaire web The New World of Value-Based Payments: Fighting Fraud With AnalyticsJoin SAS expert Tom Wriggins as we explore the top fraud fighting tactics to combat fraud, waste and abuse in our newly emerging world of performance/value models.
- Article Saving lives during a global pandemic through medical resource optimizationCleveland Clinic is operationalizing analytics to combat COVID-19, creating innovative models that help forecast patient volume, bed capacity, medical equipment availability and more.
- Article Will health care be fundamentally changed post-COVID-19?Many market forces are supporting the transformation to virtual digital health programs -- the COVID-19 pandemic is just the latest compelling event.
- Article Jump-start COVID-19 research with text analytics Applying text analytics and AI to discover trends and commonalities among COVID-19 research documents can lead to new insights about the disease and help answer many unanswered questions.
- Customer Story Advancing mental health care with predictive analyticsCanada’s Centre for Addiction and Mental Health uses SAS Analytics to improve care and streamline hospital operations.
- Article Analytics leads to lifesaving cancer therapiesA long-shot treatment offers hope to 10-year-old Harrison after he learns the DNA profile of his cancer is resistant to chemo. Find out how data and analytics play a role in cancer research and cancer treatments that are saving lives.
- Customer Story Reducing hospital-acquired infections with artificial intelligence Hospitals in the Region of Southern Denmark aim to increase patient safety using analytics and AI solutions from SAS.
- Article The transformational power of evidence-based decision making in health policyState health agencies are under pressure to deliver better health outcomes while minimizing costs. Read how data and analytics are being used to confront our biggest health care challenges head on.
- Customer Story Cancer treatment enters a new era with artificial intelligenceAmsterdam UMC uses the SAS Platform and AI solutions to increase speed and accuracy of tumor evaluations.
- Customer Story Health breakthroughs driven by DNA analysisCommunity-based genetics study uses SAS machine learning and artificial intelligence to improve population health in Nevada.
- Customer Story Automated laboratories improve uptime with analyticsPredictive service and maintenance keeps Siemens Healthineers lab tests running on time.
- Customer Story Providing the best medical care via analyticsCrouse Hospital improves patient outcomes with data-driven approach.
- Article IoT in health care: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened health care systems around the world – we can’t afford not to integrate IoT in health care.
- White Paper Understanding Data Streams in IoTThis paper explains how streaming analytics helps you acquire, understand and use real-time, streaming data to make fact-based, automated decisions – and instantaneously react to new information.
- Article Analytics: A must-have tool for leading the fight on prescription and illicit drug addictionStates and MFCUs now have the analytics tools they need to change the trajectory of the opioid crisis by analyzing data and predicting trouble spots – whether in patients, prescribers, distributors or manufacturers. The OIG Toolkit with free SAS® programming code makes that possible.
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White Paper
Fighting Insurance Application Fraud
Learn about the advantages of using analytics-driven methods for authenticating applicants to reveal customer gaming, agent gaming and potential future claims fraud.
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White Paper
How Advanced Analytics Can Prevent Medicaid Fraud
Medicaid fraud is prevalent, costly and difficult to prevent. With a combination of more integrated data and advanced analytics, state agencies can turn the tables on fraudsters. They can accelerate the transition from detection to prevention, as new forms of fraud are recognized faster and fewer improper payments go out the door.
- Analyst Report IDC Perspective: Highlights from the 2018 European SAS Conference for Industry AnalystsThis IDC Perspective summarizes key takeaways from the annual European SAS Conference for Industry Analysts.
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White Paper
Using Modern Analytics to Save Government Programs Millions
Next-generation analytic tools from SAS cut across data and program silos and empower investigators to go on the offensive with fraud operators – without disrupting the efficient and timely delivery of benefits, services or tax refunds.
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E-Book
Fight Fraud and Financial Crimes With Analytics and Artificial Intelligence
Fraudsters are only becoming smarter. How is your organization keeping pace and staying ahead of fraud schemes and regulatory mandates to monitor for them? In this e-book, learn the basics in how to prevent fraud, achieve compliance and preserve security.
- E-Book What’s the new normal in health care?Even before the COVID-19 crisis, health care was changing. But the urgency of the pandemic accelerated change in health care delivery, resource optimization, data-driven thinking and decision making, and much more.
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White Paper
Artificial Intelligence for Executives
This paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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White Paper
Behavioral Health in the Health Care IT Ecosystem
Behavioral health providers face financial, cultural and policy challenges when trying to adopt healthcare IT. Learn what’s being done to change that and improve whole-person care through behavioral health data.
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White Paper
Behavioral Health in the Health Care IT Ecosystem
Behavioral health providers face financial, cultural and policy challenges when trying to adopt healthcare IT. Learn what’s being done to change that and improve whole-person care through behavioral health data.
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White Paper
Text Analytics for Executives
This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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White Paper
Modern manufacturing’s triple play: Digital twins, analytics and the Internet of Things
Technologies to recreate a digital version of some of the world’s most complex machines present new opportunities for analytics and the IoT. Learn how manufacturers worldwide can monitor equipment from anywhere in the world.
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E-Book
Making Sense of AI
This e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can improve our understanding of the world and enable us to make better, faster decisions.
- Article Using analytics to prevent deadly infections Dignity Health’s Bio-Surveillance Program predicts new sepsis cases, allowing early intervention and saving lives.
- Article Health care cost containment through big data analyticsTaking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs.
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White Paper
Achieving Program Integrity for Health Care Cost Containment Operations
Lear how taking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs.
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White Paper
Making Real-World Evidence Real
Learn about the technology foundation for creating real world evidence to show the value of medical treatments in large target populations and real world conditions.
- Article Detecting health care claims fraudHealth care claims fraud could represent as much as 10 percent of total claims cost. Learn how to fight back with analytics.
- Article Can data sharing help cure cancer?Clinical trials can bring new drugs – and new hope – to the market for cancer patients. Now, a new data sharing platform for clinical trial data brings even more hope.
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E-Book
How Any Size Organization Can Supersize Results With Data Visualization
Everyone makes better decisions with easy access to powerful, interactive analytics – no matter the size of the business. This e-book profiles six organizations that are using self-service data visualization and exploration to make big improvements in the way they work.
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White Paper
Advanced Health Care Analytics: A Practical Model
This paper delves into the challenges and opportunities facing health systems, as well as priorities for achieving real data-driven improvements. It also proposes transitioning to a new model based on advanced analytics, Hadoop and in-memory processing.
- Article Analytics for prescription drug monitoring: How to better identify opioid abusePrescription drug monitoring programs (PDMPs) are a great start in combating abuse of prescription drugs, but they could be doing much more. Better data and analytics can inform better treatment protocols, provider education and policy decisions – and save lives.
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White Paper
The Evolution of Analytics
Learn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
- Article Analytics. Fighting cancer for more than 40 years. Thanks partly to analytics, cancer survival rates are higher, treatments are more personalized and cancer research continues to expand.
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White Paper
Optimize Your Launch Sequence Strategies
This white paper explores how the SAS® solution for launch revenue optimization enables global pricing teams to simulate and optimize launch timing and pricing decisions based on the predicted effect on global revenue.
- Article Why you should care about episode analyticsThe future of value-based health care requires a better understanding of how patients are treated for thousands of conditions. Only episode analytics can uncover the insights payers and providers need.
- Article Big data in health careThere's enormous potential for big data in health care: Individualized medical treatment, improved processes, reduced waste and so much more. See how three health care organizations are leading the way.
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White Paper
How To Use Analytics to Create Health Care Value: An Executive Primer
US health care reform has digitized health care. Analytics holds promise in creating value from the growing stores of health care data but what are the critical executive considerations for applying analytics strategically? This paper presents how to tap into the great potential to use analytics to fish for insight from your growing data lakes.
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White Paper
The Road to Value-Based Health Care
This paper describes the transformative tools that use advanced analytics to help health care organizations balance the goals of cost reduction and quality improvement through analysis of episodes of care.
- White Paper Deploying an Analytics Foundation for Clinical ResearchDiscover how life sciences companies can use advanced analytics to harness clinical trial data – and produce insights that lower trial costs and accelerate the revenue potential of new products.
- Article Are you covering who you think you’re covering? How rigorous are you in determining membership eligibility? By some estimates, between 4 and 18 percent of all health plan benefits are paid in error due to eligibility fraud issues.
- White Paper Five Steps to Analytical Maturity
- White Paper Current Perspectives on Risk-Based Monitoring
- Article The role for big data in health care’s triple aimIndustry consultant Carolina Wallenius explains the future of health care and the role of analytics.
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E-Book
Data: Managing It to Make the Most of It
This e-book provides an in-depth look at how health care organizations could use information management to make better use of data – and, in the process, move clinical care forward by having the ability to not only collect information but to make intelligent decisions and care advancements based on true knowledge.
- White Paper Empowering Life Sciences with Secure, Accessible InformationTo adapt to regulatory and market pressures, life sciences companies must redefine the way they manage their essential data assets. The companies that thrive in the future will be the ones that can gather scientific, clinical and business information from many different sources; pool the relevant information in a central place; and provide controlled, real-time access to those who need to examine, analyze and report on the information. The desired state parallels the hub-and-spoke model in the airline industry, with the centralized information repository representing the hub and the various users and uses of that information being the spokes. This white paper describes five keys to achieving this model, and the benefits it delivers.
- Customer Story Can big data analysis increase sales?Upon growing its assets by nearly 40 percent in 2011 compared to 2010, Cigna Indonesia turned to SAS to handle the barrage of big data for better business decisions.
- White Paper End-to-End Management of Clinical Trials Data
- Customer Story Q&A: Achieving big financial gains - quicklyInsurance companies uses SAS to help business partners generate revenue increases and maintain competitive edge.
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White Paper
An Exploration of Current and Future Considerations Impacting Awareness and Use of Open Clinical Trial Data
Explore the challenges and opportunities sponsoring organizations and researchers face when sharing and utilizing clinical trial data for secondary analysis.
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White Paper
Risk Adjustment in Health Care Government Programs
With advanced analytics and machine learning, health care organizations can be more timely and confident in their risk adjustment programs, more effectively managing the cost of care and building a stable annual financial portfolio.
- White Paper Building Data-Driven Supply-Chain Resilience for 2020 - and BeyondThis paper explores the many ways implementing next-generation best practices and technologies can improve supply chain performance today and tomorrow.
- White Paper How Public Sector Agencies Can Use Analytics to Lead Through CrisisWhen public service leaders need to make vital decisions quickly – to guide people through a crisis and save lives – data analytics is essential.
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White Paper
Operationalizing Analytics: What Is State-of-the-Art in Health Care and Life Sciences?
The potential for analytics to transform health care – to make it more personalized, intelligent, cost-efficient and effective – is immense. The question is, how will you move your organization forward to exploit the power of analytics?
- Séminaire web Using Analytics to Uncover Hidden Insights in the COVID-19 Outbreak This webinar, part of our Analytics in 20 series, will show how analytics techniques like optimization, forecasting and epidemiological modeling can help public health and life sciences companies fight the pandemic.
- Séminaire web Pharma 4.0: Modernizing Manufacturing With Analytics This webinar, part of our "Analytics in 20" series, will cover the role of analytics in pharmaceutical manufacturing for improving quality and efficiency.
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