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 […]
Analytics, statistics, data science, artificial intelligence. What does all this mean? What are we doing in data science in healthcare, specifically in revenue cycle management concerning financial data for healthcare? First, what is data science? This is a way of categorizing or grouping a whole bunch of things related to big data computer science, which […]
Where you get your data from does make a big difference in healthcare data analysis. 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 a practice management system, EMR, or laboratory information […]
We’re going to discuss a little bit of a combination of how to read charts and even how to design them for effective denials management so that we can interpret results, diagnose problems, or identify solutions well. We’re frequently looking for relationships or something in a graphical presentation of data that allows us to understand […]
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, did a presentation and talked about MGMA benchmarks. They spoke a bit […]