Health Care Analytics
Analytics and big data solutions for a higher standard of health care
Better clinical performance. Better patient outcomes.
A complete view of patient care and readmission patterns. Access to all relevant clinical and nonclinical data for real-time decisions. And a better understanding of your clinical performance. We can help you improve patient outcomes with analytics software and big data solutions for the health care industry that address your biggest priorities, including:
- Readmissions. Understand the clinical and nonclinical factors that affect readmissions, and prevent avoidable readmissions in the most appropriate and cost-effective ways. Watch this video on learning how to identify readmission improvements using SAS Visual Analytics.
- Health outcomes. Analyze huge volumes of structured and unstructured clinical and operational data to uncover hidden insights on indications, patient/provider concerns and other issues that can affect patient care. Then turn that insight into evidence-based knowledge that can help you predict and improve outcomes.
- Patient safety. Identify potential issues before they become a reality by analyzing diverse data sources to predict and medically investigate patient safety signals.
Identify high-risk patients and predict likely outcomes. Choose the best patient-specific interventions. And plan staffing resources and service locations that will keep patient safety and satisfaction – and revenue – high. Only SAS provides the analytical depth necessary for boundless insight into quality and outcomes so you can:
- Understand individual patient risk. Use predictive analytics to identify key causal drivers of less-optimal outcomes so you can tailor intervention strategies to specific patient needs.
- Communicate with patients the way they prefer. Incorporate both clinical and nonclinical information into your analyses to identify patient preferences, determine the most suitable message or intervention, and predict how likely a patient is to comply.
- Strive for the best possible patient outcomes. Capture and analyze patient data on demand to get real-time risk scores that you can use to reprioritize intervention plans during patient interactions.
Better care. Lower costs. Greater value.
An in-depth understanding of costs and their drivers at the individual patient level. More efficient care delivery. And the right staffing, with the right skills in the right locations at the right times. SAS can help you find the path to patient profitability with:
- Health care cost analytics. Identify key drivers for transaction-level costs associated with millions of patients from different parts of your organization. Use the insight gained to improve the value of health care delivery – and thrive in an outcomes-based reimbursement system.
- Performance management. Improve performance by focusing on accountability and creating a culture that supports measurement and transparency.
- Workforce planning. Accurately forecast demand for services and workforce supply, and develop critical workforce plans to mitigate any predicted gaps.
Understand the true costs of care. Improve cost management and patient profitability. And achieve better financial transparency. Only SAS delivers solutions that enable you to:
- Gain a competitive advantage by identifying the actual costs of delivering patient care. Use activity-based management and a profitability calculation engine to identify true care delivery costs – and their drivers.
- Develop more efficient care delivery processes. Perform sophisticated cost modeling and profitability analysis for both direct and indirect activities involving individual patients, services, procedures and departments – all based on the specific care delivery process used.
- Gain productivity with a single, flexible system. Adopt an end-to-end activity-based management solution that combines data management, business modeling, reporting and advanced analytics on one platform. And choose whichever costing and management methodology best fits your needs.
We use SAS on a daily basis to carry out analyses that verify department activities and establish budgets with great results. One medical department has saved €1 million in one year.
Get a handle on clinical and financial risk for value-based care.
Episode-based care information. Better patient care through increased collaboration. And more effective negotiations with health plans. SAS provides an advanced analytics solution that addresses emerging provider reimbursement models through:
- A holistic view of patient episodes. Gain a more comprehensive view of patient care across a variety of conditions and procedures so you can identify important episode interdependencies.
- Value-based care and payment models. Fully understand your current performance, and confidently predict and manage the financial and clinical risks and rewards associated with contracting for value.
Understand the complexities of managing a patient. Craft new approaches to addressing the underlying reasons for variations. And view the impact of care delivery and the price of health care services at a level of detail that has never before been possible. With our solution, you can:
- Enable more efficient care delivery. Get a comprehensive view of patient care delivery across a variety of conditions and procedures. Then use sophisticated analytics to identify the best opportunities to reduce care variation – and, therefore, costs – while maintaining quality.
- Gain the knowledge needed for value-based care delivery and payment models. Track potentially avoidable variations in care delivery – and associated financial implications – by analyzing historical patient data. Then identify potentially avoidable costs by category and set financial incentives for care and cost improvements.
Ready, set, analyze.
Easy data sharing that transcends organizational boundaries. Data governance that take the headache out of managing your health care data. And clinical and operational data that’s consistent, clean and trustworthy – and ready for analysis. SAS provides a solid foundation for health analytics with solutions that cover:
- Data integration. Ensure easy access to all relevant clinical and operational data, regardless of system or format.
- Data quality. Improve your data’s lifespan and ensure trustworthy analyses by making sure your data is consistent, reliable and always up-to-date.
- Master data management. Develop a master data management program that lets you govern consistent data, create a single unified view of your data and implement more effective processes.
- Data visualization. Look at your health care data in a whole new way by visually exploring data to uncover hidden patterns and connections that can lead to new insights.
- High-performance analytics. Get insights faster than ever before by processing analytical models in a fraction of the time it used to take. And make critical, time-sensitive decisions with confidence.
Break down silos to get a complete, consistent view of all your data. Quickly make sense of huge volumes of patient and organizational data. And be ready for the future, no matter how your data and analysis needs may grow and change. Only SAS enables you to:
- Simplify data integration to ensure access to as broad a set of patient data as possible – today and tomorrow. Our flexible, scalable data integration platform can cost-effectively integrate all your current and future data, as well as accommodate current and emerging national health information exchange standards.
- Solve complex problems fast by applying truly sophisticated analytical techniques within an in-memory environment. Only SAS delivers in-memory offerings that process big data analytics to extract time-sensitive insights.
- Interactively explore all relevant data – no subsetting or sampling required. Data is quickly read into memory, so you can apply predictive and descriptive analytics to spot previously unknown patterns, identify key relationships and uncover insights that would otherwise stay hidden.
SAS has the power to handle large volumes of data. In terms of quality control, even though many different research scientists might work on a project, we're all recording it the same way in SAS.
