You're in the right room.
A health informatics blog for the people who arrived from somewhere else. Nursing, pharmacy, public health, the ward. You already know what an EHR is. Nobody ever explained the API. We start there.
The square does not fit the circle. That is the entire point.
New here? Walk in this order.
Two minutes. What you will find, who it is for, and why there are no affiliate links anywhere on the site.
The one explainer that unlocks half the others. Read it before anything else technical.
If you start a health informatics programme this autumn, this one was written for you.
The Farm Boy Who Decoded How Ideas Spread
A farm boy's observations about hybrid corn adoption created the framework we still use to understand how innovations spread. It matters more than ever now that health systems are trying to figure out what to do with AI.
One blog, six ways in.
What is X, actually? Concepts taken apart for a reader who came from the clinic, not from computer science.
800–1200 wordsTool ReviewHonest takes on the software you will actually be handed. Limitations named first, rated for student usability, never general.
FlexibleGuideGrad school, career paths, study strategy. Specific and actionable, never motivational.
FlexibleLabInteractive posts with embedded components. Learn by doing, completable in under ten minutes.
InteractiveResourceCurated collections, honestly annotated, with the catch on each one named. Under ten items, always.
Under 10 itemsField NotesLongform, essayistic, more ambitious with structure. The intellectual range of the blog lives here.
1200–2000 wordsRecent, across every type.
De-identify a dataset, step by step
A live pipeline you drive yourself. Watch the re-identification risk drop as each field is handled, and watch one patient stay flagged anyway.
What this blog is, and is not
No affiliate links, no sponsored posts, and no pretending every new tool is revolutionary. Here is what you are actually signing up for by reading this.
The Farm Boy Who Decoded How Ideas Spread
A farm boy's observations about hybrid corn adoption created the framework we still use to understand how innovations spread. It matters more than ever now that health systems are trying to figure out what to do with AI.
The Persistence of Reluctance: Why Doctors Still Hesitate at AI's Clinical Crossroads
Sixty-six years after Ledley and Lusted computerised medical diagnosis, physicians are still hesitant to embrace decision support tools. But this time, the reluctance might actually be justified.
When Seeing Is No Longer Believing: Deepfakes as a Public Health Crisis
As deepfake technology makes it impossible to trust what you see and hear, the implications extend well past fraud, into mental health, emergency response, and the basic architecture of public health communication. The erosion of reality itself has become a health crisis.
APIs, without the computer science
You have used one today without knowing it. Here is the whole idea in plain clinical terms, and why it changes how systems talk.
A square and a circle, refusing to line up. The mark for people who never quite did either.
One email. Only when it is worth opening.
No loops. No "you've got this." Just the post, when there is one, and nothing in between.