Recover lost revenue:

Leverage Artificial Intelligence to automate your revenue cycle

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In this report, you will learn:

  • Unique revenue cycle challenges created by COVID-19
  • Key drivers of wider adoption of revenue cycle automation
  • 4 action steps you can take now to leverage artificial intelligence
  • The 9 best use cases for revenue cycle AI
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A time to innovate and automate

As health organizations continue to navigate their way through the COVID crisis, an increasing number are turning to intelligent automation, which consists today primarily of three distinct technologies: artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA). Each of these complimentary technologies has a part to play in an effective automation strategy. These three each have their strengths and weaknesses, as well as ‘sweet spots’ in solving critical problems in revenue cycle today. Individually or in concert, they are being used by leading healthcare organizations to address some of the biggest pain points in revenue cycle management. Blending the right intelligent automation technologies can create a transparent, seamless patient experience while leading to increased revenue capture and integrity.

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