How do you know where revenue is leaking? If AI isn’t part of your answer, it’s time to rethink your plan. Not only can AI analyze data and detect anomalies, but it can (and should) also alert your team when revenue is slipping away. Still, many hospitals struggle with the question: How do we actually leverage AI to achieve better outcomes?
This session will answer that (and more). We’ll cover the current and future role of AI, and we’ll dive deep into how to apply predictive analytics and machine learning to hospital revenue integrity. We’ll also explore various predictive modeling techniques, and we’ll help you measure the success of AI-powered charge capture so you’ll know if you’re making progress.
Key takeaways include:
– Understanding the role of AI in hospital revenue integrity
– Unlocking ways to collect, preprocess, and select data for improved outcomes
– Knowing which metrics to track to gauge charge capture success
– Uncovering insights into the future of AI for hospital revenue integrity