ON DEMAND WEBINAR | REVENUE CYCLE STRATEGY SESSION

Securely leverage AI + machine learning to elevate performance

Rebecca Pierce Headshot

Rebecca Pierce,
Director, Product Management
Waystar

Scott Ruthe Headshot

Scott Ruthe,
VP of Security
Waystar

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.

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