RCM Consultants - Medical Billing Marketing, RCM Automation, Data, and AI.

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.

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.

Why do so many supposed experts who talk about analytics not provide actual data? Are they making up numbers? What is going on?

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.

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.

What does healthcare in the United States have in common with the Catholic priesthood? Listen to find out.

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.

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.

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.

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.

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.

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.

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.

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.

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.

What makes a good dashboard? We'll discuss a key element for making a great dashboard and how it relates to eCW (eClinicalWorks) dashboard.

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.

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.

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.

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.

Are you a destructive analyst? We've all been there. We'll discuss what is destructive transformation and why it occurs so frequently in data science and analysis.

How good is the reporting for eCW? We'll review some of their reports and discuss what is broken, what works, and what could be improved.

What do toasters and medical billing reporting have to do with each other? Listen to find out. I think this highlights a huge problem we have in the revenue cycle management industry.

In a prior podcast we outlined why not to do a data warehouse. In this one we'll expand on that a little and provide a very specific and detailed solution on what you should do instead. And it will save you money, not cost more.

What do Zillow and billing analytics have in common? We'll talk about why Zillow, who is famous for their algorithm, data, and analytics, and others have a problem in real estate and how to avoid that in medical billing.