Predictive analytics has been successfully deployed across nearly every industry and sector of the US economy. The ability to identify the likelihood of future outcomes based on historical data is around us every day—think Amazon and Netflix recommendations—but have you ever wondered what it can do for your organization? Attend this webinar to learn what predictive analytics is, how it works, and how it can be applied to hospital and health system RCM to uncover missing charges and millions in recoverable net revenue.
Presented by ZirMed's Chief Data Scientist, Paul Bradley, PhD
Wednesday, May 24th at 12:00-1:00 pm ET
Join us as we explore:
- Examples of hidden opportunity in hospital charging data—missing charges, undercoding, and meaningful coding anomalies.
- How predictive analytics and data mining uncover these hidden pockets of opportunity.
- The real-world impact on revenue integrity and charge-capture KPIs.
- How leading hospitals and health systems have effectively deployed these technologies to deliver improved financial performance.