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 ACADEMICIAN

Trace the claim before you trust the answer

There’s reading a paper. And then there’s really getting under its skin. Bring your curiosity. Learn a more deliberate way to explore.

The moment you recognise

A paper for tomorrow’s journal club. A dozen questions worth asking.

Try it with this synthetic material

A fictional journal-club abstract describes 48 residents whose mean quiz score rose from 6/10 to 8/10 immediately after a workshop. There is no control group, follow-up or patient-outcome measure.

Make something useful

Make a claim/evidence/limitation table. Identify why this cannot establish a lasting improvement in clinical care. Draft three questions for journal club.

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.

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