
Responsible AI in Healthcare: A Practical Checklist
A practical checklist for evaluating AI tools in healthcare: purpose, evidence, human oversight, privacy, bias, workflow fit, accountability and monitoring.
Convergence
These are questions rather than positions. Each is somewhere between an interest and a project, and collaborators are welcome.

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Quick answer
Three strands: how AI assistance could support individualised case review without narrowing it, how clinical records could capture what a consultation actually contains, and the literature and experiments around two contested subjects, water memory and energy healing, where the interest is in what the evidence supports and how claims should be worded.
Rohit is also reading and working through the literature and experiments around water memory and around energy healing. Both are debated and far from settled. The interest is in what the evidence actually supports, what the experiments can and cannot show, and how honest claims should be worded. Nothing in this work is offered as proven treatment, and no clinical claim is made on the basis of it.
Writing about a contested question is legitimate as long as the writing is clear that it is contested. That is the standard applied here.
Researchers, colleges and clinicians working on any of these questions are welcome to write. Shared reading, a small study or an honest critique are all useful outcomes. The contact page has a research option.
Insights

A practical checklist for evaluating AI tools in healthcare: purpose, evidence, human oversight, privacy, bias, workflow fit, accountability and monitoring.

What individualisation means in homoeopathy, how case taking looks at the whole person, and the responsibilities and limits that come with it.

Why clinic software often captures the easy fields and misses what matters in a consultation, and how to design healthcare systems that respect clinical work.
Questions
Not currently. It is structured reading, note taking and discussion, alongside clinical internship and technology work. Any formal study would be described as such, with its method stated.
Because deciding what to believe requires reading the actual evidence rather than the summaries on either side.
Conversations
A short message with some context is the best way to start.