AI in Healthcare Community
What's inside
A place for the questions
that come with the work.
From evidence and research to clinical practice, implementation, governance, and learning, this is a space to work through questions together.
The community areas
Eight areas.
A shared practice.
Following the life of an AI system, from the first idea to the day it is switched off.
Select an area to read its scope.
01Start & Ask
Introduce yourself, ask anything, and say what you'd like this place to become.
02AI in Practice
Where the output meets your own judgement - disagreeing with the model, over-reliance, and what you tell patients and colleagues.
03Pre-implementation
Before you commit: the problem, the business case, what's on the market, and readiness.
04Implementation
Integration, deployment, redesigning the workflow around it, and getting people to actually use it.
05Post-implementation
Life after go-live: day-to-day performance, real outcomes, and keeping watch over time.
06Governance & Assurance
Who signs off, who is accountable when it drifts, and how any of it is documented.
07Evidence & Research
Appraising what's published, and finding people to work with.
08Learn & Connect
Teaching, competencies, and what's coming up.
From first idea to ongoing review
The life of
an AI system.
It starts with a need: a problem worth solving. From there come planning, selection, preparation, validation, integration, and the redesign of real clinical work.
Go-live is not the end. Adoption, operation, measurement, and monitoring reveal what needs to improve - so the cycle begins again with better questions.
- 1Need
- 2Plan
- 3Select
- 4Prepare
- 5Validate
- 6Integrate
- 7Redesign
- 8Adopt
- 9Operate
- 10Measure
- 11Monitor
- 12Improve
The life ofDifferent expertise. A shared challenge.
Where do you fit in?
Start with your perspective.
Your experience belongs here
Make sense of AI in your everyday practice.
The questions that come up when you are the one using it on a real patient. Compare how other clinicians handle them.
Questions you might explore
- Do you override it often? I can’t tell if I’m being too cautious.
- How do you word it in the report when you disagree with it?
- Has anyone found a good way to explain to a patient that AI was involved?
A simple place to start
Bring one question.
Build from there.
You don’t need a finished project or all the answers to take part.
Request an invitation- 01
Introduce your perspective
Share your role, what you’re working on, and what you hope to learn.
- 02
Explore and ask
Find the conversations relevant to your work. Start with a question you’re already thinking about.
- 03
Contribute what you learn
Share an experience, offer another perspective, or help someone think through a challenge.
Before you join
A few things
you might wonder.
Do I need to be an AI expert?
No. AIiHC is for healthcare professionals at different stages of working with AI. A practical question, relevant experience, or a willingness to learn is a good starting point.
Who is the community for?
Clinicians, researchers, students, healthcare leaders, IT professionals, implementation scientists, policymakers, and legal advisors are welcome. Industry professionals are welcome to participate in a non-commercial capacity.
Is AIiHC another professional society?
No. AIiHC is a shared community where professionals from different societies and disciplines can learn and talk together about AI in healthcare. It complements the societies you already belong to; it does not replace them or speak on their behalf. You can participate whether or not you belong to a society.
Does AIiHC provide formal courses?
AIiHC focuses on peer learning and practical discussion. The AI Healthcare Academy is a separate initiative for structured education.
What can I share?
Bring professional questions and lessons from your work. Keep patient-identifiable information and confidential organisational material out of posts, disclose relevant interests, and follow the community’s participation rules.
Can I use discussions as clinical guidance?
Discussions support professional learning. They are not individual clinical, legal, or regulatory advice, and do not replace local policies, formal evaluation, or your professional responsibilities.