What it is and why it matters
Health analytics encompasses the technologies and skills used to deliver business, clinical and programmatic insights into the complex interdependencies that drive medical outcomes, costs and oversight.
Through modeling, optimization, predictive analytics and business intelligence, organizations can gain insights to strengthen financial and budgetary performance, deepen consumer-centric relationships and improve the way health care is conceived and delivered for better outcomes across the entire spectrum of health industries:
Listen to how Duke Clinical Research Institute is analyzing data to battle heart disease, the number one cause of death in the United States. It is Duke’s goal to share their databank of knowledge with researchers around the world to help make discoveries that will help heart disease patients in the future.
One of the key benefits of SAS® is that it standardized the process for receiving and storing data as well as making data available to the users.
Director of Informatics, Daiichi Sankyo
Health analytics for life sciences
Diminished pipelines. Escalating development costs. A changing health care market. After years of therapeutic and commercial successes, life sciences companies are grappling with these new realities and searching for ways to survive and thrive in an evolving health care economy.
Advanced analytics can deliver the crucial insights necessary to propel a business toward growth and success by:
- Getting new medications to patients faster.
- Providing regulatory bodies with evidence of drug safety and efficacy.
- Better understanding disease states.
- Improving manufacturing processes and sales and marketing efforts.
- Identifying and developing the next generation of health care treatments.
- Identifying optimal strategies to commercialize treatments.
By providing the most advanced portfolio of analytical software and services in the world, SAS has become the trusted leader in health analytics. That's why, for more than three decades, leading life sciences companies have relied on SAS Analytics for drug discovery, clinical trials, sales and marketing, and manufacturing.
Health analytics for health insurance
In the midst of economic instability and health care reform, health plans face unprecedented challenges. As the market becomes increasingly complex, consumer-centered and regulated, critical questions surrounding future growth, profitability and sustainability abound. And answering them will require new data sources, more complex analysis and fact-based decision making at an unprecedented level.
Advanced data management and predictive analytics enable data-driven decisions that will allow health plans to adapt to new market realities by fully understanding the new dynamics and applying them to their unique portfolios of business – from predicting and managing shifts in the customer base, to transitioning from a wholesale to a consumer marketplace, to bending the cost curve through health and condition management, to detecting and preventing fraud, and beyond.
SAS has in-depth domain knowledge and experience from more than three decades of delivering health analytics to the health insurer industry for aggressive fraud detection and prevention, health and condition management for improved outcomes, actuarial analysis for improved financial performance and new data-based methods for customer retention. With SAS Analytics, health insurers can gain real value and cost savings and demonstrate that value to those purchasing benefits and to government regulators.
Health analytics for health care providers
In the face of ever-rising health care costs, aging patient populations, the impact – both actual and potential – of health care reform, and unforeseen complexities, health care providers have never had a greater need to derive trusted insights from data.
From increasing patient safety, to improving the management and quality of care, to becoming more financially stable through efficiency and cost management, the use of advanced analytics is critical.
For more than three decades, health care providers have used SAS Analytics to:
- Measure, track and improve performance more effectively and efficiently.
- Improve health outcomes and patient safety by delivering evidence-based improvements in quality of care.
- Save millions of dollars through accurate forecasting and real-time access to information.
As we see more shared risk between providers and payers, SAS can be used to manage these new risk arrangements.
By using insights provided by predictive models, we can empower our nurse case managers to make a difference in people's lives.
Director of Healthcare Research and Evaluation
Blue Cross and Blue Shield of North Carolina
Public health analytics
While the cost to government of supporting a national health care system can be crippling, it can also result in health care modernization. With the goal of improving health care while lowering costs, policy makers are funding programs that encourage the sharing of data and adoption of electronic health records (EHRs).
Governmental and non-governmental organizations collect and generate huge amounts of health care data. Clinical data combined with administrative data can be used to demonstrate if the money being spent to improve population health is actually working. And, as digital data streams grow, analytics will become more critical to manage costs and use scarce resources wisely.
Organizations dedicated to public health are using SAS Analytics and business intelligence to support national health policy and budgetary decisions, perform regulatory and oversight activities, and fund and conduct health care research. But most important, SAS is helping implement better and more cost-effective health care.