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Sean McSweeney
Healthcare AnalyticsEpisodes
Episodes of Healthcare Analytics
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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. L
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 shou
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 da
Is there value in "knowing" things? Listen to my contrarian point of view. I think you'll agree after listening.
We'll tip you off on a webinar to avoid by a very well known and respected expert in the field. Why Is it so bad and a waste of your time? Listen to find out and what you should do instead.
Ever wondered if Oracle BI is better than SiSense or the other platforms out there? What is "the best"? What criteria would you use to evaluate? And what does a top rating organization have to say about it?
I don't want to give it away. You'll have to listen to the podcast to find out our impressions of the reporting and "analytics" for Kareo.
How much do you or your managers know about your healthcare business or revenue cycle management? If you're good, the answer is a lot. But no one knows everything. Listen to hear a discussion of knowing and finding out...and surprises.
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