WHAT’S ADVANCING
A chaotic record, in one clean timeline
The timeline, the contradictions and the gaps — the three things that take an hour to find by hand.
Read & practise ↗Source: The Lancet Digital Health · F3GREYBRAIN 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 CLINICIAN
Know what the AI evidence actually supports
Good questions matter. Practise using GenAI to organise uncertainty and examine a line of reasoning with greater care.
The moment you recognise
A teaching case with incomplete information and more than one explanation.
Try it with this synthetic material
A fictional teaching exercise compares a task-specific imaging system evaluated in a screening programme with a general-purpose chatbot that has not been evaluated in that programme.
Make something useful
Build a checklist covering intended use, population, comparator, outcomes and validation. Explain why evidence for the imaging system cannot establish the chatbot’s clinical performance. Do not diagnose or recommend treatment.
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 ↗