SAS for Improved Health Outcomes

SAS Institute Inc.

SAS for Improved Health Outcomes

SAS Institute Inc.

Predictive health insights that improve patient outcomes and experience

SAS Institute Inc.- Global

SAS is the leader in analytics and artificial intelligence. Commercially active since 1976, we’re the founder, and future, of analytics.

Public health agencies, providers and insurers trust SAS to help them make sense of complex health data. SAS solutions support critical health insights in over 3500 health care settings and 640 public health offices in 50 countries. High-quality health care and innovative therapies -informed by analytics- are saving patient lives, optimizing treatment strategies and controlling costs. Our solutions help health payers and providers advance patient outcomes in the age of digital health.

SAS for Improved Health Outcomes integrates with health and non-health data to guide whole person care and community programs that reduce health disparities.  Insights from SAS help improve quality of care and health outcomes by integrating analytics within your 360-degree view of patients, members and clients.

Clinical outcomes

  • Analyze structured and unstructured clinical and operational data, including freeform notes and focus group transcripts, to uncover hidden insights on indications
  • Turn insight into evidence-based knowledge that can help you predict and improve outcomes
  • Use all data available to determine optimal treatment, focused on value-based care
  • Understand the clinical and nonclinical factors that affect readmissions.

Patient safety

  • Avoid medication, surgical and other interaction errors through increased data sharing
  • Analyze diverse data sources to predict and medically investigate patient safety signals
  • Identify patients that have higher risk of infection to optimize discharge planning
  • Predict and prevent avoidable readmissions.

Whole person care

  • Understand overall community needs, as well as contextual factors that can become barriers to care
  • Forecast demand for services needed by high-risk populations, and measure program effectiveness.