Founder's Statement

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 Jun 3 5 min read

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 Apr 29 5 min read

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 Apr 29 6 min read

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 Apr 29 4 min read

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 Apr 2 5 min read

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 promises of c Mar 16 5 min read

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