Matt Seefeld, EVP of MedEvolve, discusses with HIT Consultant why many physician practices are facing a harsh reality as they enter 2022. Revenue cycle processes and technology that have traditionally produced an acceptable bottom line are no longer delivering.
Growing Trends
- Growing labor and staffing complexities
- Need for greater margin
- Disparate data and systems limiting ability to gain intelligence
- Automation of manual processes is key amid resource deficiencies
- Demand for self-service and better patient financial experiences
Revenue Cycle Resources for Physician Practices
Disrupting Healthcare Revenue Cycles: From Human Burden to Intelligent Automation with Matt Seefeld
In this episode of Disruption/Interruption, Matt shares how generative AI and a focus on human accountability can help providers achieve “zero touch” claims, reduce waste, and improve access to care, especially for small and rural hospitals.
MedEvolve Announces Acquisition by Emergence to Accelerate AI-Driven Revenue Cycle Transformation
November 11, 2025 — MedEvolve, Inc., a pioneer in AI-powered revenue cycle automation and analytics, today announced its acquisition by Emergence, an enterprise backed by The Pritzker Organization.
How Rural Hospital Administrators Can Leverage Technology & Advocacy to Secure OBBBA / RHTP Funding
How Rural Hospital Administrators Can Leverage Technology & Advocacy to Secure OBBBA / RHTP Funding Lobby for the families who depend on your local care
Primary Medicine Podcast: Matt Seefeld on Physician Practice Financial Health
Host Dr. Kevin is joined by Matt Seefeld, CEO of MedEvolve and a nationally recognized expert in healthcare revenue cycle optimization. With over 20 years of consulting experience, Matt shares how technology, AI, and automation are revolutionizing billing, staffing, and operational efficiency in medical practices.
Modernize RCM Benchmarks: Improve Lagging Indicators with Leading Metrics
MedEvolve transforms revenue cycle by improving lagging metrics with leading indicators that improve visibility, prediction, and performance.
