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

How much time is saved by automating charge reconciliation? Not doing it or doing it on excel? Charge recon is finding encounters clinical missing from billing.

Why can't it be that we just do a quick analysis and we're done? We explore the operational challenges that make this a pipe dream or dare I say fantasy in RCM analytics.

What constitutes a denial? Does everyone agree on this definition? Why does it matter what we include? Check in to hear our thoughts on medical billing denial definition.

What can we learn from venture backed startups (like Slack) that applies to healthcare providers? Are there any frameworks that could make them more successful and how do these relate to analytics?

What issues can you run into doing charge reconciliation? Errors can undermine your ability to find missing charges. Listen in to find a key tip for success.

Wyatt do idiosyncrasies of cultures have to do with medical billing and performance? Listen to find out and hear some tips to improve RCM ave your analytics.

You won't believe the dumb things on this massive RCM company's website. It kind of makes you cringe. They should either fire their entire marketing department or operations team...it's not clear which.

What do you need to be doing now in order to ensure regulatory compliance? We'll talk about data, analytics, penalties, and audits.

We'll take you through some fun examples of what to consider in making a good basketball team and what this has to do with medical billing.

Is there an easy way to collect more money from patients? Here is one SECRET we have implemented for clients that significantly improves patient collections.

We put some real effort into finding resources for teaching conditional logic. Listen to find out why this is so important in medical billing and where to get some FREE courses.

What does the great Raymond Smullyan have to do with revenue cycle management analytics? Listen to find out (and learn about my goofy childhood).

What the heck is this thing? Why does it matter in medical billing? Is it only for analysis or does it impact anything else?

Why are there so many problems and so much resistance to codifying rules in medical billing so they can be analyzed and measured? Let's look at why and what to do about it.

Bouldering

What happens to those medical billing rules that are in everyone's heads? Your company needs those and there are competing reasons fighting to get those out or keep them secret.

There are a ton of little nuances to billing that everyone in the industry know exist. What does this do to your analysis?

Which claim remittances and correspondence go to which departments in the medical billing company or division? It depends. Listen to find out about a huge productivity boosting analytics setup for your department.

Ever find a mistake or a problem in an analysis? Who hasn't. The question is not how to prevent it, but how much time and effort needs to be devoted to finding mistakes in RCM analytics compared to the actual analysis itself. Listen to find out the ratio we suggest.

Are you ready to do the quality control to figure out if all those incorrect payment flags are actually incorrect payments or just an error in the system? We'll dive in so you can know what you'll need to do and how to plan for it. In the end you can catch insurance companies underpaying you.

How can you tell if you're getting taken advantage of by insurance companies? Are they underpaying you according to your contract? What are your options for catching this?

Running into problems where you have lots of different payer names fire the exact same insurance company? Why does this happen? What kind of problems does it create? And how can you fix it?

What do different people in the organization need for data and reporting? What kind of analysis is appropriate for a biller compared to a CFO of a system? And how can that be obtained for all those levels?

If you want a medical billing company to bill for you, how do you ensure that you keep your data or control the data so that you are safe in the event something happens? We walk you through the typical decision process and what your options are.

Trying to define exactly what software you need built or what you need analyzed can be extraordinarily difficult. Here are some of the issues typically encountered and a suggestion on how to improve outcomes.