Ask
Say who you are and what is in front of you. You will get questions to take to a visit, a huddle, a pitch, or a kitchen table.
A health system is not a market first. It is people who will live with what you ship. Translation is fitting the tool to that place.
For I am building or bringing a tool into care
Opening
If this goes well, who is in a position to say so? If it goes badly, who can be named?
What are we asking a nurse or a doctor to stop doing, not only to start?
What evidence would make this hospital stop the pilot?
Whose workflow did we watch, and for how long, before we designed this?
What do we do when the tool works worse for some patients than others?
Same questions, denser rooms. Go when you are ready — not as a test of seriousness.
Health-specific guidance
World Health Organization
WHO's 2024 guidance on large multimodal models in health: consent, evidence, equity, and the duties that remain with clinicians and states.
The question is not 'is AI risky?' but 'what does care require of this tool?'
How to manage, not only name
U.S. National Institute of Standards and Technology
A voluntary framework for putting AI risk into an organisation's ordinary risk practice. Widely referenced; not a law.
You are past 'what can go wrong' and need a cycle: govern, map, measure, manage.
A law with high-risk lists
European Union
The first broad AI law of its kind. It ranks uses, not vibes. Health, education, and some public services sit in the high-risk band.
You need to know which uses of AI a major jurisdiction treats as high-risk — including several in health.