Podcast about the finance and technology of healthcare. We cover revenue cycle management (RCM), how to grow an RCM business, technology and analytics including artificial intelligence for RCM, as well as general consulting and scalable reliable process design. Written version of these podcasts are available on our blog at https://voyanthealth.io/blog
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Does your medical billing business need branding? Should you invest in this? I've heard many billing companies tell me they want to be seen by their clients and prospective clients and that this is really important. But is it? We'll dive into what this really means and the benefits and costs of branding.…
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We decided to try and experiment and see how smart a generative AI (GAI) application is. In part because this is a hot topic and we get asked about it frequently, we thought it would be fun to test. We asked a LLM/GAI application whether you need generative AI at this point in RCM or even what would be good applications of it. The answer will aston…
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Most medical billing marketing starts with exhibiting at trade shows. But is this a good investment for your medical billing business? We'll explore the pluses and minuses and give you the answer.
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Is generative AI something you should jump into right now? Where is it applicable to RCM? Where could your technology focus be right now to get the most ROI?
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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.
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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?
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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.
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If you have comments or suggestions please send them over to us we would love to hear from you.
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Many are asking about AI in healthcare and about its application ave future or imminent dominance. Are the robots taking over?
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What?!?! Voyant's core technology is based on automation, how can we dare to be saying this? Listen to find out what we counsel.
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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.
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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.
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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?
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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 everythin…
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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.
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Many systems have problems with their data. Listed to some issues we going with Clinix and why this makes reporting and even workflow difficult.
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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.
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We're back! New branding for the company.
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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.
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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)?
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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.
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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.
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Benchmarks, MGMA, and Navel Gazing
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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.
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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?
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Is there value in "knowing" things? Listen to my contrarian point of view. I think you'll agree after listening.
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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.
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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?
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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.
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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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Remittances often have errors or other issues that make doing analysis difficult. In particular practice name / entity name is a disaster. We'll explain this problem and tell you a very simple and effective solution so that your analysis is productive.
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Most billing and practice management systems overwrite data when something changes, which means you lose your ability to analyse and solve problems. We offer a simple(ish) solution.
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How are denials defined? Can we all standardize? Why isn't there already a standard from one of the financial or billing associations? We have an answer.
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Why do so many supposed experts who talk about analytics not provide actual data? Are they making up numbers? What is going on?
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Have you ever thought about when is the best time to work? To do analysis? Strategic thinking? Did you realize it depends on your genetics? Listen to find out how to be a better analyst and problem solver.
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What's the worst, the bottom, the Nada land of analytics? And where is the top, what should everyone be striving towards? We'll talk about the hierarchy and what each level means so you can see where your organization resides.
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What does healthcare in the United States have in common with the Catholic priesthood? Listen to find out.
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We've discussed in RCM a definition of denials, discussed that there isn't a good definition, and why a definition is so important. Today we'll dive into some really specific examples of actual denial / remittance codes and whether they sounds be considered denials.
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This is a follow up to the information and review we provided about OpenPM / Open Practice Solutions and their reporting capability with respect to denials. We dive in more deeply here to the problem they have and what you can do to solve it.
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It never ceases to amaze us how many obstacles there are to successful analytics. We'll recount one of the problems you are likely to encounter. And a secret way to ensure you have success in getting all your data.
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In a prior podcast we talked about why it is so important you define what is a denial and what problems you encounter if you do not have one. In this podcast we dive in more deeply to discuss what constitutes a denial.
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We often do reviews of individual systems and their reporting capability. We'll discuss OpenPM (Open Practice Solutions), give you a bunch of positive things and discuss one really important flaw in their denials reporting.
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Hard as it is to accomplish, we managed to link revenue cycle management, denials, the US Supreme Court, and pornography all in one podcast (don't worry, nothing distasteful). Sound ridiculous? Thus is the state of our industry, and listen to find out why these are all linked and actually quite important.…
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We recently reviewed a client billing analysis that concluded that alternate CPTs should be billed in order to reduce denials. This is NOT about compliance. Listen to hear about what to watch out for when doing your analysis.
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Are you looking at a flat file report when working on your medical billing? How does this relate to the relational database and its structure? Is anything being lost? Are we somehow being misled because the output doesn't make sense or is designed poorly and we may not even know? Listen to find out.
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What do these seemingly unrelated things have in common? Have you ever heard of Freakonomics? Listen to hear discussing human behavior, data, and how it drives our decisions and business in revenue cycle management.
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What makes a good dashboard? We'll discuss a key element for making a great dashboard and how it relates to eCW (eClinicalWorks) dashboard.
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Are you capturing all your denial information in order to do analysis and solve problems? If you're like the overwhelming majority of providers and billing companies the answer is no and one thing makes it really hard, which we'll discuss.
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What is Destructive Transformation such a big issue? We'll explain how this creates huge problems even while it solves a pressing problem with Excel analysis.
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What should you do in AR Recovery, or what should you expect if you are a provider? We'll dive into some details and talk about how to make this work and have that cash register ring.
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Does your billing department or billing company have regular problem solving meetings designed to tackle problems in medical billing? We'll discuss how one of these went recently and what you can do to ensure success in your billing. Spoiler alert: it includes analysis and problem solving.
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