ON DEMAND WEBINAR
Duration: 41 minutes​

Machine learning and artificial intelligence (AI) are popular, powerful tools in revenue cycle management today. In fact, 75% of health systems already report positive ROI from their AI investments. Yet many providers are concerned about the security of such tools, with 65% citing that as a barrier to greater AI adoption.

In this session, we'll drill down on exactly how revenue cycle leaders can use machine learning and AI to achieve results - all while using best-practice security frameworks to mitigate risks. We'll get specific by:

• Clarifying the most promising AI use cases in the revenue cycle
• Defining critical factors for success, including data quantity, expertise, and execution
• Explaining security frameworks that can help alleviate concerns and mitigate risk
• You'll walk away confident in your ability to securely use cutting-edge tools to boost performance.

SPEAKERS

Rebecca Pierce
Director, Product Management
Waystar
 

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Scott Ruthe
​VP of Security
Waystar