UPMC, KLAS Research study examines AI adoption trends, governance barriers

Oh, lovely. UPMC's Center for Connected Medicine and KLAS Research have polled 27 healthcare leaders and discovered that 93% deploy third-party AI solutions while only 44% have a dedicated data platform or environment for testing them. So let's do the arithmetic: roughly one in two health systems is running AI it cannot independently evaluate, and calling that 'adoption'. In aviation, that would be a crash investigation waiting to happen; in healthcare, it's Tuesday. The report's headline phrase 'governance barriers' is doing heroic work to avoid the word 'negligence'.

Then again, the governance barrier is doing exactly what the industry asked of it. KLAS and UPMC present these findings as a study; any CEO will read them as a permission slip. The report draws on 27 leaders, which is a small sample, but healthcare IT is a small country and the attitudes generalise nicely. One imagines the boardroom pitch: 'It's fine, we did a KLAS study' — a study that says we don't test stuff. Wonderful.

The saddest part is that nobody will act on this until a patient dies in a way that can be traced to an untested vendor model. Then we'll get a flurry of regulation, some hastily assembled data environments, and a class-action settlement that costs less than the savings from skipping the testing in the first place. UPMC and KLAS have produced a perfectly measured, perfectly ignored warning shot. Pour one out for the overworked hospital data scientist who has been asking for a sandbox since 2022 and was told to put in a ticket.