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REVENUE CYCLE OPERATIONS MEETS MACHINE LEARNING
A conversation between a Revenue Cycle Expert and a Machine Learning Expert

Revenue cycle operations in healthcare are well overdue for a healthy dose of innovation. Major research and adoption of technology, such as AI and Machine Learning, has largely focused on drug discovery, diagnostics or patient care and protocol solutions. Additionally, tools that bring these innovations to bear on the financial operations of healthcare have either been designed for other industries and adapted (with limited success) or have been designed to address a limited scope of revenue cycle operations. As a result, today’s revenue cycle leaders have been drastically underserved by technology.

In fact, there are few technologies on the market today that have been designed specifically for healthcare revenue cycle management (RCM). Most existing automation solutions use decades old technology that was never designed with the complex and dynamic nature of healthcare in mind. We started Alpha Health to develop a solution that is purpose-built for the unique demands of revenue cycle management in healthcare.

Join Amy Raymond, Head of Revenue Cycle Operations for Alpha Health and Varun Ganapathi, Co-founder and Chief Technology Officer for a discussion about technology purpose built for Revenue Cycle Management.

Key Learnings
1. Understand the differences between Bots, Machine Learning and Artificial Intelligence.
2. Discover where technology can have the most impact in revenue cycle management and why it matters.
3. Learn what to consider when selecting an automation technology and what to look for in a solutions provider.

Aug 25, 2020 09:00 AM in Pacific Time (US and Canada)

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