Why Healthcare Executives Will Mandate AI Before Their Competitors Do Milton Friedman used to tell a story about visiting a canal project where workers were digging with shovels instead of machinery. When he was told the point was to create jobs, not just build the canal, he replied: if jobs are the goal, give them spoons, not shovels. The point was not cruelty. It was clarity. The purpose of work is to create value, not to preserve friction for its own sake. Healthcare now f

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