Let me concede from the outset that, in this blog post, I lean toward the negative—dire predictions, worst-case scenarios, a bit of doom and gloom, etc.
But I ask you, oh gentle, patient reader, how could I not?
Let’s go to the satellite. You can see warm air from a low-pressure system (Meaningful Use Stage 2, not changed dramatically by the one-year extension) collide with cool, dry air from a high-pressure area (the turmoil of Obamacare) and tropical hurricane moisture (ICD-10). Tell me you don’t see the Perfect Storm yourself.
And here we sit in our little fishing boat, waiting for the mighty ocean to consume us.
Overly dramatic? Certainly, but still not wholly inappropriate, I will argue.
Consider a recent report on the HIMSS/WEDI ICD-10 National Pilot Program collaborative that was created to, “…minimize the guess work related to ICD-10 testing and to learn best practices from early adopter organizations.”
Designed to ascertain the realities of the entire healthcare system adopting and using ICD-10, this pilot included an education and adoption program for all participants, followed by a set of “waves” in which diagnoses for the 100-200 most common medical conditions were actually coded and submitted using ICD-10.
The end-to-end testing approach …
…would encompass a number of medical test cases that mirror actual processing, including situations with multiple “hops” or “steps” between providers, clearinghouses, and health plans; the identification of high-risk medical test cases to help prioritize testing; the identification of available testing partners; and key reporting and sharing of test results. The test environment must mirror production.
And how did this pilot testing go? (Cue dark, foreboding music here …)
The average accuracy was in the 60 percent range with low scores around 30 percent. Yes, some medical scenarios had nearly 100 percent accuracy, which is great. But very low accuracy accompanied a number of very common conditions. Not so great.