A key component of stopping fraud, waste and abuse is to focus on your most productive targets: Who or what should be the focus of your payment integrity program?

AI and machine learning have become popular concepts in payment integrity. But how can they help reduce your losses to health care fraud, waste and abuse?

Given the negative impact of fraud, waste and abuse on health care, it’s in every payer’s interest to focus on these problems. 

So how does a health care payer measure success in payment integrity? How much is enough?

IFRS 9 changes the accounting recognition of loan impairment from an “incurred” to an “expected” loss basis, requiring new predictive models that bring the worlds of accounting and credit risk modelling ever closer together.