This framework organizes AI learning into practical tiers for healthcare operations teams.
Tier 1: Curious
Learners understand what AI assistants can and cannot do.
Example outcomes:
- Draft a simple summary from non-sensitive content.
- Identify why AI output requires human review.
- Recognize when not to use AI without local guidance.
Tier 2: Capable
Learners use AI for daily productivity tasks with better prompting and verification.
Example outcomes:
- Rewrite notes into a structured draft.
- Ask for assumptions and missing information.
- Compare AI output against source material.
- Use a basic data-handling checklist.
Tier 3: Creator
Learners design reusable prompts, assistant patterns, or workflow templates.
Example outcomes:
- Build a repeatable prompt pattern.
- Define inputs, outputs, and review steps.
- Test the pattern against synthetic examples.
Tier 4: Champion
Learners support peers, collect feedback, and improve team practices.
Example outcomes:
- Facilitate office hours or peer review.
- Identify adoption barriers.
- Help route uncertain workflows to local review.
Core Habits
- Treat AI output as a draft.
- Keep source material available for verification.
- Avoid sensitive data unless local controls and review explicitly support the use case.
- Document assumptions and uncertainty.