I’m constantly impressed by how bad the data is in healthcare IT systems. We’re encountering one of these clinix data integrity issues again today, and they seem to pop up all over the place. You could consider these to be metadata issues, but in reality, they are data integrity issues. For example, there are some […]
Let’s say you have a post date for payments in May. Whatever you posted in May should be closed and should never change because you’re capturing the time at which a function was performed, and you can’t time-travel back to do that. However, some systems allow this, and the problem is that the EHR data […]
I’ll bet you didn’t know time travel was possible. Well, with some healthcare IT systems, it is. It’s not uncommon in billing to find yourself in a situation where there’s some unapplied balance. You receive an ERA, an EOB, or some form of payment, and for whatever reason, you can’t post the entire amount—or even […]
I saw an interesting article recently concerning artificial intelligence and machine learning in revenue cycle management, focusing on evaluating AI vendors for RCM. It was pointing to pre-authorizations and pre-certifications as an excellent area for using this technology. This article was initially available on our podcast. Click here to listen. Learning to Compare Results: Evaluating […]
This article was initially available on our podcast. Click here to listen. Analytics, statistics, data science, artificial intelligence. What does all this mean? What are we doing in revenue cycle management, specifically concerning financial data for healthcare? First, what is data science? This is a way of categorizing or grouping a whole bunch of things […]
This article was initially available on our podcast. Click here to listen. Where you get your data from does make a big difference. Suppose I look at the progression of how we accessed data from our clients. In that case, we’d initially had the idea that we could go into the billing system, whether it’s […]
This article was initially available on our podcast. Click here to listen. We’re going to discuss a little bit of a combination of how to read charts and even how to design them so that we can interpret results, diagnose problems, or identify solutions well. We’re frequently looking for relationships or something in a graphical […]
This article was initially available on our podcast. Click here to listen. When are benchmarks not benchmarks? This will be a long podcast, so strap in a little bit. The MGMA collected data from 2,500 practices. There was a webinar where the MGMA, in conjunction with WhiteSpace, which makes data warehousing effectively, offers data warehousing, […]