In a recent post to the Health Affairs Blog, Charles Roehrig, an economist who serves as VP and director of Altarum’s Center for Sustainable Health
In last week’s post, I argued that observed over expected analysis (O/E) was commonly misused as a method for doing “level playing field” performance comparisons.
A few years ago, I had a shocking and enlightening discussion about analytic methods with a group of epidemiologists and biostatisticians from Blue Cross Blue
A young colleague recently wrote to me complaining of frustration from having to deal with a high rate of errors in software development and data
When doing analysis, it is really important to clarify up front what it is you are actually trying to figure out. This sounds so obvious.
Back in the mid-1990s, when I was working in the Center for Clinical Effectiveness at the Henry Ford Health System, I had the privilege and
I am a big fan of people in the fields of “usability” and “human factors.” These are engineering disciplines which have been applied to software
— This morning, I read a blog post from someone in the “business intelligence” industry complaining that, after years of innovation, “BI” is not really
As shown in the following graphic recently published by the Healthcare Intelligence Network, it has become common practice to use “case load” as a metric