There had been a lot of hype and some concern that automation will wipe out the medical billing / RCM industry. We'll explore is that real and what implications are for medical billing companies.
How does RCM move away from being an industry primarily of body shops? What does performance mean in revenue cycle and how do you get there?
What's a body shop in rcm? And why are so many cycle management companies and even departments set up as body shops? We'll discuss the implications and eventually get to an alternative.
If you have comments or suggestions please send them over to us we would love to hear from you.
Many are asking about AI in healthcare and about its application ave future or imminent dominance. Are the robots taking over?
What?!?! Voyant's core technology is based on automation, how can we dare to be saying this? Listen to find out what we counsel.
Is there something wonky happening with the data in Kareo? What does bad data mean? Listen to find out for a significant issue with this system.
AdvancedMD has an AI tool, but is it really AI i.e. artificial intelligence? We'll dive into this product and offer some thoughts on its capabilities and limitations.
What's better - more planning and detail or winging it... Err, I meant "agile". All jokes aside, which path is better - larger scope and more detailed specifications or the opposite?
What information would you want in order to run analytics? If you're like other practices or billing (RCM) companies, you want to answer a lot of questions and this means lots of information that isn't easy to get from your system or systems. Listen to the challenges of just one system we recently dealt with. And this doesn't even include everything you might want for analytics and using the data for workflow.
Do we need data from clearinghouses and why? Can they provide this information accurately and export it in order to use it in analytics? We'll find out.
Many systems have problems with their data. Listed to some issues we going with Clinix and why this makes reporting and even workflow difficult.
Net you didn't know time travel was possible. With some healthcare (HCIT) systems it is. As fun as this sounds, this creates some real headaches.
What's a good way to evacuate the capabilities of a vendor offering RCM AI/ML? We'll tell you one expert's suggestion and explain whether it would be effective.
Machine learning, artificial intelligence, statistics, data science, analytics - what do all these mean? What do we need it use for financial data in healthcare (RCM)?
What limitations do you encounter when pulling data from billing systems? What works better as a data source for analysis? This is a detailed explanation of where to get data and where to analyze it to get the results you want.
What makes a good chart? How do you make sure that it isn't misinterpreted or misunderstood so that conclusions are correct and commonly understood across many people the same way? Listen to find out how we screwed one up, why, and what we should have done instead.
The MGMA had benchmarking data for a large number of practices. Listen to find out what they share in a webinar about benchmarks, as well as other esteemed presenters.
Robotic process automation is really hot right now. But do robots get tired? Listen to hear about the challenges of getting access to your data, the robot apocalypse (just kidding), and lazy robots. We all want answers to our questions using data, right?
Lewis Wood
Listening to a podcast on RCM consulting, automation, and AI really opens your eyes to how much technology is reshaping medical billing. Automating processes, analyzing data, and integrating marketing into billing cycles are powerful tools for healthcare providers. What’s striking is how these innovations make healthcare not just faster but smarter. If you want to see a practical example, check out source from here ( https://www.rioconsultingcorp.com/billingcollection ) where professional billing services integrate these ideas into real-world solutions for practices. The real conclusion here is that technology and consulting together form the foundation of a modern, profitable healthcare business.