AI × MedEd
Andrew O'Malley PhDI'm a medical educator. I read the literature so you don't have to, then write one short letter every Monday. For faculty, residents, curriculum leads, and anyone in higher ed who teaches.
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 57 | Founded | a year ago | Last Issue | 8 days ago |
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What we know about what trainees know
Hello everyone!
Many of you will remember that academics used to have something called ‘summer’, which was a break between academic years when we could planning, think and write about things that we didn’t have time to do during peri...
From if to how: three blueprints for an AI-ready medical education
Hello everyone.
Before we get started on this week’s roundup, a couple of updates:
I wanted to take a moment to welcome a flurry of new subscribers to this newsletter, which is now routinely read by 7500 people per month from 7...
AI in the Assessor's Chair
Four new studies show generative AI can write exam questions, mark answers and appraise medical education research, but matching expert judgement still falls short of trustworthy judgement.
For the last three years, most of our conversatio...
⚙️ The Best Productivity Tools for Educators and Researchers (2026 Edition)
A curated guide to the most capable productivity tools for academics and educators.
At this point in the year I start thinking about all the things I haven’t done over the last year. Teaching is winding down, the marking pile will eventual...
When the Patient Is a Prompt - Part II
Four new trials ask whether AI can replace the role-player in the room
Are AI-simulated patients any good? It is a familiar shape of question that I think about a lot. Every educational technology arrives draped in promise, and the early d...
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Authors
The writers behind this newsletter.
I’m a Senior Lecturer at the University of St Andrews Medical School. I specialise in generative AI (genAI), medical education (MedEd), and digital assessment — with a particular focus on safety, bias, and implementation in real-world teaching.
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