How SAS Detects and Prevents Health Care Fraud, Waste and Abuse
Fraud, waste and abuse in health care divert billions away from patient care annually. Faster, more aggressive investigation and detection of key risk indicators at every stage of the process is key to controlling costs and protecting patients.
A holistic view of clinical conditions & events
- Gain a more comprehensive view of patient care across a variety of conditions and procedures to identify important event interdependencies.
- Determine the true cost of clinical conditions, better manage payment models and improve patient outcomes.
Value-based care & payment models
- Confidently predict and manage financial and clinical risks and rewards associated with contracting for value.
- Use clinical data to adjust for acuity within provider populations, thus increasing adoption of a value-based care model.
Fraud data management
- Consolidate historical data from internal and external sources – claims systems, watch lists, third parties, unstructured text, etc.
- Discover connections among entities sooner to expose organized fraud rings or collusive activities.
Detection & alert generation with embedded AI
- Gain awareness earlier with alerts based on a calculated propensity for improper billing at first submission.
- Reduce false positives to improve investigative focus.
- Uncover suspicious activity sooner with an end-to-end framework that includes modern statistical, machine learning, deep learning and text analytics algorithms.
We’ve worked so hard over the years to fight fraud, and this new capability with SAS has helped us take it to the next level to safeguard our members and save our clients millions of dollars. Jo-Ellen Abou Nader Vice President of Fraud, Waste and Abuse and Supply Chain Optimization Prime Therapeutics