Ten simple rules for teaching practical AI to health data teams.

Ten practical rules are proposed to help healthcare data teams move from AI curiosity to capability by prioritizing privacy-first, workflow-centered system thinking.

• Why it matters: Progress often stalls due to uncertainty about practical implementation, alongside risks around privacy, regulatory compliance, brittle deployments, and mismatched expectations.
• What they did: The guidance is derived from hands-on training experiences and existing educational and methodological literature, emphasizing workflows over models and systems over components.
• The result: The rules aim to move teams beyond the AI hype cycle toward building trustworthy, sustainable, context-aware AI systems that fit healthcare settings.

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