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2:20-3:10 p.m.

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How AI and ML Can Drive a Touchless Revenue Cycle

Machines can do just about anything – like deliver a package, chat with you and drive cars. So when should you hand over the keys? Machines and humans perform better in different jobs and need each other to be successful.

Attend this session so you can know where to automate with technology and where to add human touch to your operations. Let the machines do the repetitive drudgery and free up time for humans to do their best work. Here are a few ways healthcare is already automating the revenue cycle:

Robotic Process Automation (RPA) automates processes that are transactional and repetitive, essentially mimicking human behavior for rule-based tasks. RPA is now used across the revenue cycle in expediting cost estimate generation, assisting pre-authorizations, patient communications, manual entry and more.

Machine Learning (ML) and Deep Learning are a subset of Artificial Intelligence (AI). AI means getting a computer to mimic human behavior in some way. Machine learning is a subset of AI, and it consists of the techniques that enable computers to figure things out from the data and deliver AI applications. Deep learning, meanwhile, is a subset of machine learning that enables computers to solve more complex problems.

With 880+ million physician visits per year and all the data recorded in each encounter, AI can help with the workload in the revenue cycle. AI can “auto-code” 7.2 million cases in the time it takes a human to do one.
Imagine 5-10 years and beyond - could technology automate the entire revenue cycle? This would allow people who work in the revenue cycle to spend more time supporting physicians, developing strategies, managing technology, and creating a modern customer experience. Imagine all of the repetitive administrative work that becomes automated, accurate, and instant. Let the machines do the work and the humans provide the care.

Learner Outcomes

Participants in this session will learn how:

• Revenue cycle leaders are using RPA, AI, ML, and other technology to automate repetitive tasks.
• How we can get to a touchless revenue cycle where machines handle drudgery and humans get time back to do their best work.
• Technology can transform how the revenue cycle operates and bring efficiency to healthcare.
• RPA, AI, ML are freeing up time for humans.
• Innovation will keep working towards a touchless revenue cycle where we let the machines handle the work.


Andrew Lockhart
Fathom San Francisco, CA
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