If deployment requires a large team, long timelines, repeated configuration, and expensive change orders, the model is not efficient — it is extractive. AI only becomes broadly useful in non-acute care when it is delivered as a secure, scalable, AI-first platform that operators can actually afford. The winning model is not custom one-off builds, fragile internal experiments, or isolated AI projects, but shared infrastructure that lowers cost and compounds learning across us

A vendor telling you they’ll save you money with their EMR software should actually start by charging you less…for their software Non-acute care operators face a structural mismatch in their software economics. Legacy EMR systems are priced like bespoke services, passing heavy development, support, and customization costs to every customer. AI has not fixed this; it has often compounded it, arriving as an expensive layer on top of already fragile systems. The result is predi

How AI Reaches Organizations as Option-Rich Infrastructure An executive team I spoke with recently had a familiar problem: they weren’t just exploring AI—they were trying to “AI-ify” multiple functions in their workflow. But the market has exploded so quickly that there simply aren’t enough hours in the day to properly diligence every option. Every week, a new assistant, copilot, or “smart” feature promises to solve a specific problem. Most are shallow, non performant or wor