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.
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.
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).
Explore More on SAS® Health and Beyond
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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.
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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.
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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.
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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.
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Customer Story
Ensuring mental health patient safety during a global pandemicSAS delivers dashboard to monitor COVID-19 in the Copenhagen Regional Psychiatric Centers.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Customer Story
Health breakthroughs driven by DNA analysisCommunity-based genetics study uses SAS machine learning and artificial intelligence to improve population health in Nevada.
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Customer Story
Automated laboratories improve uptime with analyticsPredictive service and maintenance keeps Siemens Healthineers lab tests running on time.
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Customer Story
Providing the best medical care via analyticsCrouse Hospital improves patient outcomes with data-driven approach.
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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.
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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.
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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.
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Analyst Report
IDC Perspective: Highlights from the 2018 European SAS Conference for Industry Analysts -
White Paper
Using Modern Analytics to Save Government Programs MillionsNext-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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Article
Medicaid and benefit fraud in 2018 and beyondTo curb the growing amount of Medicaid and benefit fraud and improper payments, agencies and their commercial counterparts need fraud and abuse detection systems with data management and analysis that can keep up and even stay one step ahead.
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E-Book
Fight Fraud and Financial Crimes With Analytics and Artificial IntelligenceFraudsters 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.
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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 ExecutivesThis 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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Article
Analytics startup focuses on health care optimizationAnalyzing vast amounts of data is key to optimizing health care outcomes, improving patient satisfaction and lowering total costs.
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White Paper
Behavioral Health in the Health Care IT EcosystemBehavioral 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 EcosystemBehavioral 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 ExecutivesThis 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 ThingsTechnologies 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 AIThis 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.
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Customer Story
Research aims to prevent child maltreatment in AustraliaTelethon Kids Institute is protecting vulnerable children with the help of data and analytics.
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White Paper
Achieving Program Integrity for Health Care Cost Containment OperationsLear 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.
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E-Book
How Any Size Organization Can Supersize Results With Data VisualizationEveryone 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 ModelThis 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.
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White Paper
The Evolution of AnalyticsLearn 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.
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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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Customer Story
Improving patient care and reducing costs with visual analyticsGelderse Vallei Hospital brings data analysis directly to medical staff.
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White Paper
Optimize Your Launch Sequence StrategiesThis 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.
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White Paper
Real-World Evidence: How Biopharma can Boost Business by Diving Deeper into Data This e-book by FiercePharma explores how biopharma companies today can boost business value by gaining deeper insights from real-world data.
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White Paper
Delivering Value-Based Care: Episodes of Care Analytics for Health Care Providers, Payers and ACOsThis International Institute for Analytics discussion summary delves into the topic of episodes of care, explaining what they are, why they are important and how they are enabling more predictive analytics capability.
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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 CareThis 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.
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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.
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White Paper
Five Steps to Analytical Maturity -
White Paper
Episode Analytics: Essential Tools for New Healthcare Models Read about real-world payer and provider experiences in using episode analytics for payment bundling, a comparison and background on the leading types of episode analytics, and recommendations on how to use episode analytics to reduce variations and manage contracts that involve financial risk.
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White Paper
Current Perspectives on Risk-Based Monitoring -
E-Book
Data: Managing It to Make the Most of ItThis 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.
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White Paper
Customer-Driven Quality -
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.
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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 DataExplore 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 ProgramsWith 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.
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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.
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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?
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Webinar
Finding Resources in the Chaos: Lessons Learned About Medical Resource OptimizationThis webinar, part of our Analytics in 20 series, discusses how analytics can inform an optimum hospital restarting plan by allocating resources effectively.
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Webinar
Smart Hospitals 2.0: Making Real-Time Location a Reality in Health CareThis webinar, part of our Analytics in 20 series, discusses how real-time streaming analytics and IoT data can help hospitals improve operational decisions and workflow efficiency.
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Webinar
The Real-World Evidence Landscape in PharmaThis webinar, part of our "Analytics in 20" series, will cover how your organization can generate robust real-world evidence to better understand how well therapies work.
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Webinar
Exploring the Evolution of Data Transparency and Its Impact on Patient Outcomes Join us as our expert guests explore the evolution of data transparency, the maturity and challenges of the movement today, and what’s in store for the future.
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Webinar
The Impact Series: Bringing AI to Life in Health and Life SciencesLearn about the latest breakthroughs and hear industry use cases where data and analytics are driving innovation and evolution in health and life sciences.
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Webinar
Next-Generation Clinical TrialsThis webinar, part of our "Analytics in 20" series, focuses on the opportunity and impact of real-world data and evolving AI techniques on modernizing clinical trials.
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Webinar
Improving Online Engagement in Pharma During COVID-19This webinar, part of our Analytics in 20 series, will discuss the role of engagement analytics in optimizing channel activity and digital sales strategies.
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Webinar
Health Care in the Post-Honesty EraIt's time for health care payers to assess payment integrity practices and develop a strategy around advanced analytics to modernize and thrive.
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Webinar
Fighting the Opioid Crisis at the Source: Pharmacies and Physicians Learn how advanced analytics is being used to fight the opioid crisis on the provider side of the epidemic starting with the source: physicians and pharmacies.
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Webinar
Analytics to Support Whole Person Care: From Basic Stats to AI and Machine LearningDiscover how analytics to support whole person care can improve the health care system.
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Webinar
Making a Difference in the Opioid Epidemic: Data and AnalyticsThis webinar, part of our "Analytics in 20" series, takes a look at the issues surrounding the opioid crisis and real-world examples of how analytics can help.
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Webinar
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.
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Webinar
Personalizing Member Experience for Improved Health OutcomesThis webinar, part of our "Analytics in 20" series, will will take a look at using analytics to understand demographics, segment members to drive behaviors and improve net promoter scores.
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Webinar
Augmented Clinical Trials: The Role of Virtual/Hybrid Trial Designs and the Internet of Medical ThingsThis webinar, part of our "Analytics in 20" series, examines how life sciences companies are competing in the digital world by using AI and machine learning to evolve the clinical research process.
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Webinar
AI for Supporting Vaccine Adverse Event ReportingThis webinar is focused on using artificial intelligence and machine learning algorithms to tackle big data related to vaccine development.
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Webinar
Building Data-Driven Supply Chain Resilience for 2020 and BeyondLearn how companies of all sizes are using improved capture and analysis of demand data to build more resilient supply chains.
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Webinar
Fighting the Opioid Crisis: Why Program Integrity Is Essential As the opioid epidemic continues to overwhelm our systems and communities, advanced analytics is critical to combating this crisis.
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Webinar
Can Health Care Professionals See the Future With AI and Computer Vision?This webinar, part of our "Analytics in 20" series, focuses on how SAS is helping a cancer research center overcome existing limitations in tumor assessments with the help of computer vision technology and deep learning models.
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Webinar
Big Benefits, Scalable Price: The SAS Cloud-Based Clinical Platform for SMBs Learn how small-to-midsize pharmas, biotechs, medical device manufacturers and CROs can benefit from a compliant cloud-based solution to facilitate clinical trials.
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Webinar
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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Webinar
Analytics to Fight Public Health ThreatsThis webinar discusses how data, analytics, epidemiological models and modernized contact tracing techniques can help safeguard public health.
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Webinar
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.
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Webinar
How Cleveland Clinic Uses Medical Resource Optimization to Fight Pandemics Join experts from SAS and Teradata to learn how the Cleveland Clinic is using analytics to make insight-driven decisions to fight the COVID-19 pandemic.
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Webinar
Putting AI and Machine Learning to Work in Human Resources This webinar discusses how HR executives who succeed with AI and machine learning will be best positioned to lead their organizations in crisis and recovery.
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Webinar
Catch a Fraudster: Finding the Needle in the Haystack With AILearn how Prime Therapeutics, the pharmacy benefit manager that Fast Company named among the world’s most innovative companies for 2020, uses SAS® AI to fight fraud, waste and abuse.
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Webinar
Evidence-Based Decision Making With AnalyticsThis webinar, part of our "Analytics in 20" series, will take a look at how analytics helps health care agencies make the types of rapid, data-driven decisions needed to manage increasingly complex programs.
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