2025 MGMA Summit Session: Revving up RCM with AI and Automation for a Lean Workforce
Discovery Behavioral Health increased cash flow by 5.2%, team capacity by 30% & zero-touch insurance payment rates by 13%. How did they do it?
Effective Intelligence (EiQ) is all about reducing your dependence on labor in the revenue cycle while ensuring the medical billing and front office staff you do need are working effectively and generating the expected revenue to increase your margin with the least amount of work effort. MedEvolve is an effective intelligence company.
Discovery Behavioral Health increased cash flow by 5.2%, team capacity by 30% & zero-touch insurance payment rates by 13%. How did they do it?
Matt Seefeld, President of MedEvolve, exposes the hidden inefficiencies and financial chaos plaguing the U.S. healthcare system. From denied claims to overwhelmed billing departments, he explains how outdated processes are hurting both doctors and patients.
Reimbursements are shrinking, labor costs are rising, and consumers are paying more. The pressure is on, but most revenue cycle teams still can’t answer a critical question: What’s really driving profit loss?
Before investing in the latest AI-powered platform, ask yourself: Do I know what’s really broken in my revenue cycle? The bottom line is you can’t fight bots with more bots. Not until you know exactly where your process break downs are occurring. Not until you understand what work is being done manually, why, and by whom. Otherwise, you’re just layering automation over chaos.
The creator of the Effective Intelligence® suite for revenue cycle optimization will lead the next phase of innovation & growth at MedEvolve.
As healthcare leaders look for the low-hanging fruit for AI and automation investments in the revenue cycle, there are three things that should be considered to achieve maximum impact on labor effectiveness.
Where are mistakes happening & what are the proven strategies to fix them? View the infographic and take product tours of Ei Suite.
Matt Seefeld discusses the role that measuring claim touches & calculating the cost to collect will have on AI-powered revenue cycles.
The reality is that current stats related to U.S. administrative waste in healthcare are abysmal, equating to about 30% of total spending waste. In response, healthcare organizations are prioritizing adoption of AI and automation to improve the outlook. This is a step in the right direction, but many, unfortunately, are leaving money on the table because they lack visibility into human generated data.
Reduce RCM labor dependence with financial clearance, insurance A/R, & patient A/R automation modules with real-time analytics.
Increase productivity and simplify front & back office processes while keeping your staff focused with our flagship PM system.
Most AI vendor pitches are built around task-completion metrics: claims processed, calls placed, codes assigned, denials ‘worked.’ These numbers are easy to demo and easy to report. They are also,
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing
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