Truly Successful “AI Projects” in Non-Acute Care Result in Purchase of Systems-of-Record – NOT Chaotic Widget Collections In engineering terms, treating AI as a crosscutting “project” has been the unfortunate norm in non-acute care– necessitated by the lack of truly AI-infrastructured EMRs in the marketplace. Driven by marketing from legacy providers that have not upgraded old tech stacks, buyers have experienced AI so far as shadow layer of services, data flows and governanc

The real product is AI infrastructure. EMRs that forget that become technical debt.   Operators know when a system is working for them and when they’re just paying rent on somebody else’s technical debt. In 2026, that’s the real line between AI “platforms” that will survive and those that will disappear.   In a recent post, I argued that in healthcare tech,   “anything is possible” often means “nothing will scale.”   We’ve all seen the pattern: dazzling demos, endless promise

Why Yesterday’s Methods are Today’s Brain Damage in Post-Acute Care and How AI Becomes Infrastructure   You have seen the new wave of “AI assistants” for healthcare: a friendly avatar, smooth chat, and a demo where answers appear as fast as you can type. When you ask whether it will handle your “unique workflows,” the answer is always, “Absolutely—we sit on top of anything.”   If you have signed the contracts and lived through the fallout, you have the scars.  This is not a