GREYBRAIN 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.

Nothing matches these filters yet.

Choose another role or stream, or work through one of the standing exercises below.

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 FOR

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 ↗