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

How legacy EMRs in post-acute care turn small documentation issues into big operational problems In post‑acute care, incumbent EMRs, designed to transition paper records to electronic records, have actually become drivers of missed KPIs, churn, and margin compression. For reasons of data redundancy, lack of coherent workflows and poor fidelity to real-world processes, they function as   Error‑Magnifying Records , turning tiny defects at the point of care into outsized busines