AI implementation checklist for Kelowna clinics

The checklist should decide the workflow, owner, source systems, review states, excluded decisions, and launch metric before the clinic evaluates vendors or model features. That order keeps the project grounded in operations.

For a first Kelowna clinic pilot, chart prep, document triage, intake completion, and routine appointment follow-up are more practical than broad patient assistant concepts.

A realistic first workflow prepares information staff already assemble: appointment reasons, missing forms, referral notes, routine reminders, or document labels. The system helps organize work for review.

It should not offer medical advice, prioritize symptoms, interpret medication questions, or finalize chart text. Those responsibilities need the clinic's licensed care process.

Kelowna clinics may serve patients from West Kelowna, Lake Country, Peachland, rural areas, and the wider Interior. Remote forms, appointment changes, and referral gaps can create front-desk work before the visit starts.

The checklist should ask whether the workflow supports those local access patterns. A patient who cannot easily return with paperwork needs a different intake process than a simple in-office reminder.

Before implementation, list the scheduling system, intake forms, inbox or fax source, approved documents, and task list. Then decide who can see each field and what the workflow may store.

This is also where the clinic reviews vendor handling, retention, consent needs, and audit logs. The checklist should be completed before patient information is connected.

The review queue should show the suggested output next to source evidence. Staff need simple states: accept, edit, escalate, discard, or no action. Each correction should save a reason.

Those reasons are more useful than a vague accuracy score. They show whether the workflow needs better instructions, cleaner forms, narrower source boundaries, or a smaller pilot lane.

The first month should prove that staff can use the queue during normal clinic rhythm. Track missing intake caught earlier, reviewer edits, exception reasons, and whether staff continue using it without reminders.

Avoid claiming the project saves a fixed number of hours before local data exists. The first metric should be trustable operation, then time and capacity can be measured from actual clinic use.