There I was listening to NPR while driving home from the airport. Their lead story was about Levis’ announcement of a new line of custom-fit jeans for women. They developed the line after studying the shapes of more than 60,000 women—I guess that is good work if you can get it. Levis somehow determined that 80 percent of all the women on the planet fall into three distinct categories, Curve IDs. (Does that mean the other twenty percent fall into roughly 3,752,841 body types?)
Why did Levis go through all this effort? Apparently 87 percent of women say they can’t find a pair of jeans that fits them. Fifty-four percent stated they try on at least ten pairs of jeans before deciding on a pair. I concluded from a few of the things I read on Google that for those whom believe the jeans don’t fit—must be a lot of bad jeans out there.
There are a lot of failed EHR implementations out there. How do I know that to be true? I studied the shapes of more than 60,000 failed EHR implementations and, guess what? They fall into three failure categories—EHR Failure IDs—lack of due planning, lack of process change, and lack of user involvement. I guess it’s difficult to get an EHR to fit…Kind of like finding a good pair of jeans.
Here’s my take on the matter. Chances are that whatever EHR does not seem to fit in Provider A is fitting just fine at Provider B. How could that be? Same system. Same code. The functionality of the system has not changed in the time since it was selected. Maybe the reason the EHR does not fit is not the fault of the EHR.
That said, there are those of you who think I may tie this discussion back to the discussion of the jeans, and write something like, “Maybe the reason the jeans do not fit is not the fault of the jeans.” I may be dumb, but I am not that dumb.
Paul M. Roemer
Managing Partner, Healthcare IT Strategy
1475 Luna Drive, Downingtown, PA 19335
+1 (484) 885-6942