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EDI, AI, Robots, and Machine Learning: Demystifying Healthcare Software Automation

ZOLL Data Systems | Dec 20, 2022

Facing an increasing number and complexity of claims, many healthcare organizations are hoping that software automation can provide billing teams with some relief. The healthcare technology field is massive, and there’s no end to buzzwords, bells, and whistles that won’t aid your organization. So, how do billers know which tools will actually help them obtain the right data, meet integration standards, and handle claims more effectively?

In an on-demand webinar, Alex Svitnev, Director of Product for ZOLL Billing, delivers a crash course in healthcare software automation. He begins by cutting through the jargon and providing clear definitions of:

  • Robotic Process Automation (RPA)
  • Machine Learning (ML)
  • Electronic Data Interchange (EDI)
  • Artificial Intelligence (AI)

Alex explains when to use each type of technology — such as for running eligibility transactions, performing coverage discovery, obtaining basic authorization, or launching the appeals process — and gives real-life applications. You’ll learn how to further differentiate between the automation types based on your goal, whether it’s obtaining a high-quality data fast and reliably, getting information you can’t get anywhere else, or simply saving time. Alex also covers how machine learning layers into RPA and EDI processes, and where AI fits into everything.

If you want to learn more about healthcare automation and its potential impact on billing processes, this is the webinar to watch.

Access it here: “EDI, AI, Robots, and Machine Learning: Demystifying Healthcare Software Automation.”

Read More About Using Billing Technology Effectively:

6 Steps to a Better Patient Experience Through Financial Transparency

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