Unlocking RCM Potential: How AI Is Shaping Revenue Cycle Management Workflow

Operating in an environment of ever-changing payer policies, finance, and revenue cycle leaders should be expanding their understanding of how artificial intelligence (AI) functions can address operational and business issues.

The on-demand webinar “Unlocking RCM Potential: How AI Is Shaping Revenue Cycle Management Workflow“ features Jeff Carmichael, Senior Vice President of Engineering at XiFin Inc. Having worked with hundreds of diagnostic and medical device providers, Carmichael shares learnings from AI projects, the need for automation as a foundation before applying AI, and the benefits of a more robust approach to AI-enabled RCM.

A comprehensive and strategic approach to data, automation, and AI can help your organization:

1. Remove friction throughout the patient’s experience.
2. Route errors based on payment risk or billing team member expertise.
3. Leverage AI to translate various payor responses into the most appropriate reason code and next actions.

Key Learnings:

• See how various analytics and visualizations can help you determine where to focus your AI efforts.
• Gain an understanding of the practical applications of AI-enabled RCM workflow.
• Discover how AI can be applied to payor responses and the automation that can be garnered.

Jeff Carmichael

Senior Vice President of Engineering

XiFin, Inc.

Jeff Carmichael’s engineering leadership spans over 20 years and encompasses networking, security, and Healthcare software and systems. He brings a career long focus on data-driven insights and prediction through advanced data modeling across several industries. Prior to joining XiFin, Jeff led worldwide software development for the network and security division of LSI Corp. He has held senior level leadership positions at several successful startups, and divisional leadership positions at Intel. Jeff holds a B.A. in Mathematics from San Jose State University.