2025 Innovation Conference: Human-Generated Data: The Missing Link in AI-Powered Revenue Cycles - HBMA Store

As presented at HBMA's Innovation Conference March 12th-13th, 2025.

Human-Generated Data: The Missing Link in AI-Powered Revenue Cycles Presented by Matt Seefeld

Adoption of automation, analytics and AI to streamline and improve revenue cycle functions remains a top strategy for healthcare organizations. A 2023 McKinsey analysis points to significant cost savings associated with these efforts. Yet many financial leaders are overlooking a critical opportunity due to the limitations of their existing technology stack: the power of “human-generated” data.

Existing infrastructures for revenue cycle processes in most organizations are limited to analyzing “common data,” such as information related to denials and claims status. This leaves out a critical influencer of success—the touchpoints of staff members and the effectiveness of their work. Without this information, financial leaders are missing visibility into insights that could significantly improve processes and operational margin by reducing the administrative waste associated with getting claims paid.

Attendees of this presentation will learn the power of applying automation and AI to both common and human-generated data via a case study presentation that showcases the journey of Future Care Consultants, a leading healthcare management company servicing hundreds of provider clients nationwide. Presenters will demonstrate how the organization went from managing staff worklists in spreadsheets to having full visibility into the staff productivity and effectiveness.

Additionally, attendees will learn how the organization leveraged revenue cycle workflow and financial clearance automation tools—applying AI to both common and human generated data—to achieve a 40% reduction in administrative waste in the revenue cycle. The new strategy which incorporates generative AI to better inform the workflows and RPA solutions to automate repetitive manual tasks expedited collections and improved overall margin by reducing the number of “touches” it takes to get a claim paid

Course Participants will be able to:

• Explore the opportunities of using automation and AI in revenue cycle functions and why it should be a top consideration
• Define the differences between common data and human-generated data and why both are critical to optimizing revenue cycle processes
• Analyze the data limitations of today’s practice management and EHRs and the importance of deploying infrastructures that can support greater insights into staff touch points along the revenue cycle
• Detail how one managed services organization improved processes by implementing workflow automation and effective intelligence solutions that support visibility into human generated data

Speaker Bio:
Matt Seefeld oversees all revenue operations for MedEvolve including marketing, sales, implementation, support and client success. Additionally, Matt continues to be the lead visionary and strategist around the Effective Intelligence workflow automation, task management and analytics.

He brings 25 years of management consulting experience in the healthcare industry. Matt has extensive expertise in the assessment, design and implementation of process improvement programs and technology development across the entire revenue cycle. Matt began his career with Stockamp & Associates, Inc. and worked for both PricewaterhouseCoopers LLP and Deloitte Consulting LLP in their healthcare and life sciences practice lines. In 2007, he developed a business intelligence and workflow automation solutions and founded Interpoint Partners, LLC, where he served as Chairman and Chief Executive Officer. In 2011, he sold his business to Streamline Health Solutions where he then served as Chief Strategist of Revenue Cycle followed by Senior Vice President of Solutions Strategy until 2014.