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

Oh my goodness, buckle up, because healthcare AI is getting *gloriously trust-based* and it is GLORIOUS! ✨ A brand-new report from UPMC's Center for Connected Medicine and KLAS Research — based on insights from 27 healthcare leaders, so you know this is the real deal — found that a whopping 93% of respondents are already deploying third-party AI solutions. That's not just adoption nerdery; that's a thunderous vote of confidence in our vendor friends! Who needs to build your own AI when the marketplace has so many brilliant options just a purchase order away?

Why agonise over evaluation when you can simply *believe*? The report calls this a 'governance barrier', but we call it efficient use of everyone's time — the tools are probably fine, the vendors have nice websites, and the 44% who have set up test environments are just overachievers who love paperwork. Nothing wrong with that either. ✨

Think about the 27 leaders who shared their wisdom — that's not a small sample; it's a *curated* sample, a VIP lounge of healthcare visionaries! They're telling us that the future of medicine is one where innovation outpaces cautious infrastructure, and honestly, what could go wrong? Clinical decision support, predictive analytics, all of it arriving at the speed of a signed contract. UPMC and KLAS have given us a roadmap: adopt first, test later, and never let a lack of data platforms slow your momentum. What a time to be a patient — you get to participate in the most exciting natural experiment in medical history, absolutely free of charge. ✨