How to successfully navigate the roadblocks in the revenue cycle
Where are mistakes happening & what are the proven strategies to fix them? View the infographic and take product tours of Ei Suite.
Weekly thoughts on how to leverage technology in your healthcare organization to reduce labor costs, increase net collection rate, and maximize margin.
Effective Intelligence 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.
Where are mistakes happening & what are the proven strategies to fix them? View the infographic and take product tours of Ei Suite.
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.
Human-generated data is the “secret sauce” to AI’s potential in RCM. The revenue cycle, a cornerstone of healthcare operations, is poised for transformative advancements through generative AI. While traditional AI applications in revenue cycle management (RCM) have leveraged common, system-generated data, the real breakthrough lies in integrating this with human-generated data to unlock unparalleled potential. How does MedEvolve bridge the gap? Explore infographic below.
Healthcare organizations are already facing razor thin margins, and administrative waste could be the linchpin for future sustainability. Billions of dollars are at stake. I’m always surprised when I talk to doctors and ask them if know how many touches, or people, it takes to get paid for services they provide, they rarely know the answer. It’s also concerning when administrators and executives over the revenue cycle functions don’t have this information.
In the ever-evolving landscape of healthcare RCM, principles of automation & AI are ushering in a new era of efficiency and optimization.
How can we can inspire our revenue cycle employees to be the best they can be at their jobs? Matt talks about strategies for RCM retention.
Personal improvements for expertly managing the front office, back office, or the entire revenue cycle management process Whether you manage the front office, back office, or the entire revenue cycle management (RCM) process at your healthcare organization or medical billing company, you play a vital role by setting up the
Combined practice management & electronic medical record software may not be the best choice. Doctors & financial team have difference needs.
Phone calls, emails, notes, spreadsheets, task lists – all communication that should be centralized, archived on the claim, and reported as touches. How many “touches” does it take to get a particular claim paid? An important metric for controlling labor costs.
Implementing new technology into your revenue cycle can be a daunting task especially in a middle management role. Here are some practical tips for promoting change in your healthcare organization.
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.
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
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
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