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

Notice we didn't say collected. Why are they not even worked frequently or at the level they should be to maximize revenue for a provider? We show you the answers and you may be surprised.

Where can we be more data driven? How can we make decisions that are better informed? This year we should be making a commitment to improving our business and profitability through data. And that includes Apache.

We'll be off for a week for the holidays.

We provide you some simple solutions on how to measure the productivity of medical billing team members for various different parts of the revenue cycle including patient registration, charge entry, accounts receivable, collectors, etc. We even offer a few higher level answers to more nuanced and complex issues you encounter.

Congress looks set to pass a bill that will eliminate surprise medical bills for patients.

What should you measure to figure out productivity in medical billing? What do you do to make sure the people don't be in the system or do you want to create incentives that actually result in good outcomes?

Is the trend towards practice management / medical billing software companies offering outsourced medical billing service a good one? And for who exactly?

How do you know if you're getting underpaid and are insurance companies doing it intentionally? Is there a way to know conclusively? (We use "doctors" as a symbol of all providers, whether it is hospitals, laboratories, physicians, ASC's, imaging centers, or other providers.)

When finger pointing happens in medical billing, whether it is with an external billing company or in-house department, what do you do? How do you know who is responsible for claims not getting paid? We have a suggestion.

What do you do with the inherent problems of the blame game? Who is responsible when claims don't get paid or there is a problem? Billing blames insurance, insurance blames billing. Now what?