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

What challenges come up on implementations of medical billing analytics? Not just overcoming resistance, we'll discuss a key challenge and give you the solution that works every time.

OK...Start Trek references aside...how do we overcome resistance to using analytics in billing departments in order to improve profitability and customer satisfaction? We discuss some problems we've seen and potential solutions.

We will review eCW eClinicalWorks "Analytics" module in their cloud based application. We'll tell you exactly what it does and does not do. I thin you'll be surprised. We certainly were.

What's happening with data science and specifically in healthcare? Where are the data scientists most in demand? We'll give you a little update on this and talk about an opportunity. I'll also share something very personal about a healthcare experience with my daughter in the process.

What are medical billing KPIs? I think this is often confusing and misunderstood. We'll explore what constitutes medical billing KPIs, and what does not.

I'm going to on a rant, so watch out. I feel strongly about this. It's all editorial BTW with a little "analysis" thrown in for good measure. (Tongue firmly in cheek)

Why do so many projects never get started? Or completed? Or are never used? Or fail? Is it the technology? Is it the specification, scoping, or implementation? Or is it something else entirely? Listen to a recent experience and my thoughts on what's really going on. If you want success...

We'll give you an update on how it is going with getting data from a big clearinghouse. Also explain what FTP is and how it can be critical to your analytics program.

More suggestions and some real specifics on dashboard design that will make them more utilized and more effective.

This is a follow on podcast about the challenges of getting access to your data, just do you can actually do analytics. I'm update you on the journey to go through the clearinghouse to get 835s/ERAs.

A frequent member of Top 10 KPI lists for medical billing is "cash receipts". But what does this mean? How do you calculate it? How often should you monitor it - daily? We'll cut through the BS, tell you what matters and what to do.

Do you ever have people talk to you in a way that seems really profound but actually has absolutely no value? This is the art of consultant speak. Billing managers do it too. Listen to hear an example from am MGMA Benchmarking webinar that is really painful and why it stinks to high...

We seem to find ourselves simplifying things and implementing less complex solutions. Why? Shouldn't the world be progressing towards more sophisticated and larger implementations?

If you haven't heard of Simpson's Paradox you're probably getting hurt by it. Not knowing makes you look bad. We'll explain what it is, how it impacts on you, and what to do to make sure people see you for how well you are really doing in medical billing.

Don't you want benchmarking around RCM performance? Where can you get it? Where should or be available? What should it accomplish? And do any of these match up to the expectations?

The follow-up podcast to the last one about accessing data in order to do data warehousing and analytics in healthcare revenue cycle management. Think clearinghouses are your salvation? Guess again.

Where do you go when you can't get the data you want to do revenue cycle analytics? To the source, of course! But where is that? And can you get it?

Why talk about a Caribbean island and data? Listen to find out.

What does a dystopian sci-fi political satire have to do with statistics, intelligence, and revenue cycle management?

What do baseball and surprise biking laws have in common. It isn't "Moneyball". Listen to learn a little about game theory, surprise billing, and arbitration in out of network medical billing.

What do coin flips and gambling have to do with checking in patients? We'll explain expected value and discuss why it is important in healthcare revenue cycle management.

I think about things differently than the average person. I'm a quant. In economics we used to think everyone behaved rationally, but with the advent of behavioral economics we know that's not true. So how can we change our thinking in healthcare that helps us? We offer a really important suggestion.

What's the solution to the reporting lag time issue? For denials it's easier than you think. I'm share my incredibly valuable Secret on what you do to avoid having to wait 6 to 9 months to know what is going on.

Everyone suddenly wants data warehousing. We'll discuss whether this is a good idea (wait...what? Sean you love data warehousing) and for who and when.

The new federal surprise billing law is complicated and has some interesting aspects to it. Data had always been a key part of determining reimbursement and we explore how this new law changes things with respect to medical billing for emergent and inadvertent out of network claims.