Healthcare fraud is rampant, and health insurers are challenged with preventing a staggering amount of fraud, waste, and abuse cases. It is estimated that these cases cost insurers and insurance services more than £450 billion a year globally. Technology poses a way to simplify the process — healthcare fraud detection has come a long way thanks to innovations in artificial intelligence and analytics.
However, to make those tools work, your plan must feed them clean data. Even the most advanced anomaly detection suites can’t help you prevent fraud if you can’t give them the high quality data to do their work.
Let’s explore why getting clean data is difficult, and what it takes to prepare data properly.
Download the full report to learn more.
