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.
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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.
- 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.
- 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.
- 電子書 Public service of the futureNever before have governments been asked to do so much, so fast, while facing considerable pressures – rising customer service expectations, fiscal constraints, overstretched organizations and workforce fatigue. Technologies like AI and generative AI are shifting the limits of what is possible – enabling fresh ideas about how public sector organizations can deliver services and helping to rethink what services are offered. From national to local government, law enforcement to health and defense to education, great strides are being made to deliver better outcomes and experiences. In this e-book, you will discover six considerations for improving productivity and ensuring public servants have the time to focus on what matters. Here's a sneak peek: · How do different demographics engage with public services and how do you serve everyone? · Are traditional processes meeting your organization’s needs? Would updating and modernizing help you achieve increased operational efficiency? · How AI is a catalyst for organizational transformation.
- 白皮書 Generative AI in Health Care: Opportunities and CautionsLearn how GenAI will affect all aspects of health care, from cost containment to patient care., and the importance for organizations to recognize both the potential and the limits of this new technology and be alert to how it’s being used to perpetrate fraud.
- 分析報告 SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- 電子書 Detect and halt risky payments across the life sciences supply chainCut fraud, waste, error and abuse with a data-driven approach to payment integrity It’s estimated that 4.57% of the total annual procurement spending in the private sector is lost to fraud and error. What would be the impact to life sciences organizations if you could stop that flow of cash out of the business? Even for smaller organizations, improving payment integrity could free up significant capital for strategic investments. In R&D, for example, it could free up funds for strategic acquisitions or returning cash to shareholders. In this e-book, we’ll look at how a smarter, more data-driven approach to payment integrity helps life sciences companies gain faster and deeper visibility into their spending across R&D, manufacturing and distribution. A data-driven approach also helps highlight potential anomalies in real time for investigation by human experts.
- 電子書 The future of public health: Building more resilient infrastructure for better health outcomesModernizing management and analysis of public health data can help drive better decisions and health outcomes at every level and enable unparalleled efficiencies and strategies in a new era of public health.
- 客戶案例 Advanced analytics helps hospital put patients at the heart of improved outcomes San Martino Polyclinic Hospital uses SAS Visual Analytics on SAS Viya for more patient-focused operations and decisions.
- 白皮書 Improving HCP Engagement with Digital AnalyticsDigital analytics can facilitate practical insights for enhancing customer experiences and improving digital engagement.
- 白皮書 The connected patient in decentralized clinical trialsHarnessing the power of real-time technologies and data.
- 白皮書 Transforming clinical trial design and executionHarnessing the power of real-time technologies and data.
- 白皮書 The road to health equityHow data and analytics contribute to improving outcomes for all.
- 客戶案例 Optimizing cancer patient care with advanced analyticsSAS Viya helps create custom care pathways for Oscar Lambret Center cancer patients.
- 客戶案例 Automated safety reporting protects hospital patients in NorwayHelse Nord uses SAS to automate its hospitals’ processes and halves their workload.
- 客戶案例 Advanced analytics in the cloud helps international biopharmaceutical group enhance operations and efficiencyChiesi Group uses SAS Viya on SAS Cloud hosted on Microsoft Azure to analyze information in a collaborative platform, streamline processes and efficiently deliver trial results to regulatory authorities.
- 客戶案例 Hospitals save time and money with real-time medical device tracking Jan Yperman Hospital uses Blyott and SAS Visual Analytics on SAS Viya to monitor hospital asset locations and ensure optimal purchasing decisions.
- 文章 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.
- 文章 Are you covering who you think you’re covering? Payers often don't focus enough on healthcare beneficiary fraud in public and private healthcare plans. Before paying a claim, payers need to ensure beneficiaries are eligible. Advanced analytics applied to a broad range of data can help them accurately detect and prevent beneficiary fraud.
- 客戶案例 Improving data collection and modeling to accelerate predictive medicine effortsDompé farmaceutici uses SAS for predictive analytics and quantitative disease modeling.
- 文章 Containing health care costs: Analytics paves the way to payment integrityTo ensure payment integrity, health care organizations must uncover a broad range of fraud, waste and abuse in claims processing. Data-driven analytics – along with rapid evolutions in the use of computer vision, document vision and text analytics – are making it possible.
- 分析報告 Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 EditionSAS was named a Luminary in Celent's Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition, excelling in both Advanced Technology and Breadth of Functionality.
- 白皮書 An Inflection Point for OpioidsData and analytics are crucial as governments confront the evolving drug crisis.
- 文章 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.
- 分析報告 dbInsight: SAS Viya is living large on AzureLearn how Azure provides the onramp to a new customer base to take advantage of SAS capabilities without having to make big enterprise software commitments.
- 客戶案例 SAS Viya and open source: Innovation through collaborationHealth insurer Techniker Krankenkasse works with SAS to build innovative pattern recognition capabilities.
- 客戶案例 Italy’s second-largest hospital uses advanced analytics for effective pandemic responseGemelli University Hospital uses SAS solutions to predict admissions of patients in the intensive care units and impacts on the organization, from staffing hospital wards to effectively scheduling and managing COVID-19 vaccine administration.
- 客戶案例 A healthier planet through bioscience innovationThe world’s most sustainable biotech company, Chr. Hansen, uses SAS Analytics to develop effective, natural probiotics for animal health, enabling farmers to produce high-quality, safe food for global consumers.
- 文章 Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
- 客戶案例 Maximizing the reach and impact of an eHealth hubMedical research facility Black Dog Institute partners with SAS to support health care workers’ mental well-being during the COVID-19 pandemic.
- 客戶案例 Predictive analytics helps save lives during COVID-19 pandemicFPS Public Health uses SAS to forecast hospital bed occupancy, predict infection rates and ensure sufficient medical staffing during global health crisis.
- 分析報告 Matrix: Payment Integrity In HealthcareAccording to this 2021 report on healthcare payment integrity from Aite, SAS' stability as a vendor, its brand recognition and its desirable product features outpace those of its peers.
- 客戶案例 Transforming mental health care in California, turning data into insight California's Mental Health Services Oversight and Accountability Commission uses analytics and data management to better serve residents and increase community well-being.
- 客戶案例 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.
- 文章 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.
- 文章 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.
- 文章 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.
- 文章 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.
- 文章 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.
- 客戶案例 Advancing mental health care with predictive analyticsCanada’s Centre for Addiction and Mental Health uses SAS Analytics to improve care and streamline hospital operations.
- 網路研討會 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.
- 文章 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.
- 客戶案例 Automated laboratories improve uptime with analyticsPredictive service and maintenance keeps Siemens Healthineers lab tests running on time.
- 客戶案例 Providing the best medical care via analyticsCrouse Hospital improves patient outcomes with data-driven approach.
- 文章 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.
- 白皮書 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.
- 白皮書 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.
- 白皮書 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.
- 文章 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.
- 白皮書 Behavioral Health in the Health Care IT EcosystemThe imperative to advance infrastructure and analytics to move toward whole-person care
- 白皮書 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.
- 文章 Health care cost containment through big data analyticsHealth insurers are plagued by fraud, waste and abuse. For health care cost containment, an enterprise approach to payment integrity using data management and analytics can help. With this approach, payers can detect and prevent fraud; influence provider, employee and patient behavior; and substantially reduce costs.
- 白皮書 Achieving program integrity for health care cost containmentLearn 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.
- 文章 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.
- 文章 Can data sharing lead to cancer discoveries?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.
- 文章 Analytic simulations: Using big data to protect the tiniest patientsAnalytic models help researchers discover the best way to care for babies in the NICU, saving lives (and millions of dollars) in the process.
- 文章 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.
- 電子書 Innovation driven by strategyFrom curing diseases to studying the sun, innovative uses of analytics are changing the world. Download this e-book to see where tomorrow’s technologies are happening today. You’ll find out how analytics technologies are being used for cybersecurity, machine learning, the Internet of Things and more. If you’re looking for inspiration, see where this e-book takes you.
- 文章 Better alignment of incentives: Helping cure data analytics in health careHealth care organizations are beginning to use analytics to make better decisions. Learn how better incentives can make the process work faster.
- 文章 How researchers are fighting cancer with analyticsThanks partly to analytics, cancer survival rates are higher, treatments are more personalized and cancer research continues to expand.
- 文章 Stopping the Zika virus: The potential of big data, analyticsHow do you stop global outbreaks? The answer may be in the data about the disease and how it spreads.
- 白皮書 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.
- 文章 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.
- 文章 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.
- 白皮書 An Analytic PrescriptionAt the May 2014 SAS Health Analytics Executive Conference, industry leaders from Dignity Health, Highmark Health, Eli Lilly Company, and SAS shared what they have done to prove the value of analytics to their business leaders and develop an analytic culture in their organizations.
- 白皮書 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.
- 文章 Analytics at the edgeStreaming data from automobiles, medical devices, location apps and other "things" lives at the edge of the network, where it can be used to monitor existing conditions and evaluate future scenarios. Learn how organizations in multiple industries are finding opportunity in analyzing this data from the Internet of Things.
- 客戶案例 Knowing the who, informs the whatThe New Zealand Ministry of Health established the Virtual Data Registry to more accurately identify diabetes sufferers and citizens likely to contract diabetes. They'll use the database to inform policy and spending decisions that will ensure better care for those patients.
- 白皮書 Empowering Life Sciences With Secure, Accessible InformationTo adapt to regulatory and market pressures, life sciences companies must redefine the way they manage essential data assets. The desired state parallels the hub-and-spoke model, with the centralized information repository being the hub and 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.
- 電子書 Powering Health Innovation with AIThere is no doubt: AI has the potential to transform health care. The most recent SAS Hackathon showcased how the transformative power of analytics can spark health care innovation. The Hackathon was entirely conducted on a Microsoft Azure cloud infrastructure to facilitate the agile analysis and visualization of big data.
- 白皮書 Modernizing Healthcare Analytics on the Cloud: Experiences from the Front LinesDramatic changes in the health care industry over the past decade have ratcheted up the demand for big data analytics while simultaneously highlighting the information risks associated with data protection and the benefits of utilizing advanced analytics to improve health outcomes, equity and quality. Many organizations are turning to cloud computing to modernize their analytics life cycle, yet sometimes they face unexpected roadblocks along the way.
- 白皮書 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.
- 白皮書 The Speed of Digital Disruption: Sustaining Transformation in Health Care and Life SciencesAn expert study investigating the challenges, successes and hopeful future state of the health care and life sciences industry.
- 白皮書 Fighting the Rising Tide of Medicaid FraudMedicaid fraud has jumped dramatically in the era of COVID, as increasing complexity of delivery and payment models, along with increased funding, has created openings for fraudsters, including organized crime.
- 白皮書 Decentralized clinical trials: From evolution to revolutionExplore the evolution of innovation in clinical research in recent years, including the challenges sponsors face adopting new approaches and the positive impact of modernization and decentralized trials.
- 網路研討會 Why Clinical Trial Enrollment Simulation Is Critical to the Success of Your TrialThis webinar, part of our Analytics in 20 series, explores how life sciences companies can use analytics to make more strategic enrollment decisions
- 網路研討會 From Idea to Action: The Keys to Real-World Evidence and AnalyticsReal-world data is the latest industry buzz, but is it that valuable? Without the power of analytics, it might not be.
- 網路研討會 AI in Health Care: Enhance Clinical and Operational Decision MakingAI is revolutionizing the health care sector. Join SAS and Microsoft to explore innovative AI solutions for better patient outcomes and efficient care delivery.
- 網路研討會 Wake-Up Call: Modernizing Public Health PracticesNow is the time to recognize trends and changes in public health and face down challenges by adapting and modernizing
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.