Address Revenue Cycle Issues Before They Have an Impact

Hospitals are increasingly turning to analytics platforms with predictive capabilities, leveraging built-in algorithms and forecasts to automate workflows, anticipate outcomes and ultimately make better decisions based on data rather than guesses. Applied to the revenue cycle, predictive analytics looks at patterns in revenue data to identify the source of revenue inefficiencies or anomalies so these can be proactively addressed, preventing costly revenue missteps or losses.


Read the perspectives in Why Predictive Analytics is the “Next Big Thing” for the Revenue Cycle to find out why the industry is trending toward predictive analytics and ways hospitals can make best use of predictive capabilities to improve performance and patient outcomes.