How AI helps a clinic or practice group: where I'd look first.
Healthcare is the one industry where I lead with the constraint first: everything runs inside your systems, HIPAA stays clean, and patient data stays exactly where it belongs. With that handled, the admin load in most practices is enormous — and it's the kind of repetitive, document-heavy work AI is actually good at.
Where it usually hurts.
- ▸Intake still takes forever — paper forms, re-keyed data, and a front desk buried in it.
- ▸Scheduling is a full-time job across multiple providers and locations, and no-shows cost real money.
- ▸Clinical documentation eats the end of every day. Providers chart at night because there's no time between patients.
- ▸Referrals, prior auths, and insurance paperwork move at the speed of fax.
Where I'd look first.
- ▸Intake triage. Digital intake that pre-fills from existing records and flags what's missing before the patient arrives — so the visit starts with the visit, not the clipboard.
- ▸Scheduling support. An assistant that fills cancellations from the waitlist, sends reminders that actually reduce no-shows, and keeps provider templates balanced across locations.
- ▸Documentation assistance. Ambient or template-driven note drafting that the provider reviews and signs — the goal is charts finished during the workday.
- ▸Demand forecasting. For multi-location groups: predict visit volume by day and season so staffing matches real demand, planned from actual volume.
Who this is for.
practice groups and clinic networks big enough to feel the admin weight — typically 5+ providers or multiple locations. Too small for it? The workshop says so straight.
How it'd start: a $5,000 workshop, two weeks, one clear answer — the one or two places AI actually pays for your business, and what it costs to run. You get a straight read either way: where to invest, and where to hold. After that, it's a project or ongoing fractional CAIO work. Everything runs on your systems, in the cloud, or hybrid — your call.