WHAT’S ADVANCING
The twelve questions you will be asked
The question session rehearsed before it happens, including the one you were hoping nobody would ask.
Read & practise ↗Source: OpenAI · ChatGPT Health · F5GREYBRAIN FIELDNOTES
Your many roles.
One method underneath.
One stream shows you something you can make this week. The other looks at what is being claimed, and what the evidence actually supports. Both end at a skill you can practise.
WHAT’S POSSIBLE · A useful workflowWHAT’S ADVANCING · Evidence in context
THE EDITORIAL LIBRARY · RECENT FIELDNOTES
What changed. What you can do about it.
THE EVERGREEN PRACTICE LIBRARY
Choose a role. Practise a skill.
Eight exercises that are always here, whichever hat you are wearing today.
EVERGREEN PRACTICE · THE COMMUNICATOR
Be ready for the AI answer a patient brings
An explanation can be accurate and still not connect. Explore different words, visuals and ways of meeting someone where they are.
The moment you recognise
An important concept that needs a simpler, more human explanation.
Try it with this synthetic material
A fictional person says: “An AI answer sounds certain, but it has not seen my full history. What should I ask my doctor?” No patient information or medical recommendation is supplied.
Make something useful
Draft a respectful conversation opener and three questions about the source, missing context and uncertainty. Explain why identifiable health information needs appropriate privacy safeguards. Do not provide personalised medical advice.
Your check: Separate supplied facts from suggestions. Open the source, identify what is missing and record what you changed.
TWO MINUTES · NOTHING TO SIGN UP FORYour first win
Your first win
starts here.
An AI draft can overclaim confidently, in fluent English, with no warning that it has done so. This is the check that keeps the doctor in the loop.
No sign-up. You keep the template.
THE JOURNAL CLUB LABGuided demo · fictional case
- 01Read the source
- 02Spot the leap
- 03Keep the method
First, what does the source actually say?
FICTIONAL STUDY BRIEF
48 residents attended a journal-club workshop. Their average appraisal quiz score rose from 6/10 before the workshop to 8/10 immediately afterwards.
No comparison group. No later follow-up. Patient outcomes were not measured.
Now imagine handing this to an AI and asking for a summary for tomorrow’s journal club. Your job is what comes next: checking what it hands back.
This example is prewritten. No live AI request or real study is involved.
Turn a useful habit
into something you can show.
Self-paced foundations. Private capstone work. An exam and assessed progression towards the IIHMR Bangalore certificate programme. Eligibility and programme terms apply.
Explore the learning and certificate pathway ↗