In this insightful conversation, host Shawn Gretz, President, Sales and Marketing for GetixHealth, sits down with Michael Laukaitis, Director of Revenue Cycle Analytics, Accounting, and Quality Assurance at UT Southwestern Medical Center, to discuss challenges in revenue cycle, AI, automation, and the future of RCM.
Discussing everything from what is changing most in revenue cycle, hidden inefficiencies within everyday operations, and the assumptions leaders need to challenge, to how automation and AI can improve workflows, prioritization, and team performance, Shawn and Michael explore what revenue cycle leaders need to rethink as they build smarter, more connected operating models for the future.
Key Topics Covered
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How payer complexity is reshaping revenue cycle operations
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Why outdated operating models need smarter workflow design
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Ways to reduce hidden inefficiencies and preventable rework
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Where automation and AI can support revenue cycle teams
- How connected data, workflows, and people drive transformation
Meet The Speakers
Michael Laukaitis
Director of Revenue Cycle Analytics, Accounting and Quality Assurance
Michael Laukaitis is a healthcare technology and revenue cycle leader with over 20 years of experience driving innovation at the intersection of analytics, automation, and operations. As Director of Revenue Cycle Technology & Intelligence at UT Southwestern Medical Center, he leads high-performing teams across analytics, quality assurance, training, and intelligent automation.Michael specializes in transforming complex revenue cycle challenges into scalable, data-drivensolutions, leveraging SQL, RPA, and agentic AI to improve financial performance and operationalefficiency. He has built and scaled teams from the ground up, developed enterprise-level automation programs, and is recognized nationally for advancing AI in healthcare revenue cycle management.A frequent speaker and collaborator, Michael is known for bridging technical expertise with business strategy, helping organizations move from reactive processes to proactive, intelligent operations
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