Start with administrative and documentation workflows. Clinical decision support demands evidence, human review, and patience.
Based on the vertical playbooks and operating patterns in AI That Pays for Itself.
The book points to ambient scribing, prior authorization, scheduling, intake triage, and documentation as available-now wins.
Diagnostic support can be valuable, but it needs validation and a hard human-in-the-loop before action.
HIPAA, privacy, patient trust, and liability make governance part of the deployment, not a phase after it.
Pick one workflow. Score readiness. Estimate current cost. Write the kill criterion before the pilot starts. If that sounds obvious, good. Obvious is usually what ships.
Implementation partner
I set the AI strategy and govern the work — I do not try to do everything myself. When a project is ready to build, I bring in my implementation partner, Olyra, to execute. You get the plan and the team to ship it.
See how Olyra implements →