Interpret data naturally with two key tools
Digging through data to identify fraud, waste and abuse (FWA) can be a huge challenge. Fortunately, graphic analytics and machine learning can help.
With graph analytics, information is displayed in graph form so viewers can see the visual relationships and interactions between data points.
A machine learning system makes predictions based on past behavior or data and compares them against new data.
Combined, agencies can identify shifting relationships and patterns that can help steer the machine learning system in the right direction.
Read the article to learn how graph analytics and machine learning can help support your agency’s program integrity initiatives.
Related healthcare insights
Article
With the right tools, employers can transform employee benefits data into actionable insights that drive better experiences and add value.
Article
Learn 3 ways to make the shift toward at-home dialysis treatments a reality for more patients, leading to better health outcomes.
Article
Challenges around affordability and access to quality health care are far more prevalent than one might think. In fact, about half of Medicare Advantage members live on an annual income of less than $25,000.