Satchin Panda’s lab ran an experiment I think about often, even if it is pseudoscience and superseded by GLP-1’s.
Two cages of mice. Same chow — high fat, the rodent equivalent of a gas station at midnight. The same number of calories going into each cage. They measured.
One group could eat whenever it wanted.
The other could only eat inside an eight-hour window.
The free-feeding mice got fat. Fatty liver. Glucose intolerance. Inflammation. The whole syndrome.
The eight-hour mice, eating the same garbage in the same amount, stayed lean.
Nothing about the input changed. Only when it arrived.
He wrote a book about this called The Circadian Code, and the thing most people take from it is the eating window. The part I can’t stop turning over is the mechanism underneath: the same molecule is a different signal depending on what time the body thinks it is.
You already believe this about medicine.
A potassium of 7.2 that lands while the patient is still in the room is a calcium.
The same 7.2 that lands forty minutes after discharge as someone didn’t notice it was missing from the BMP is a phone call and a drop in your stomach.
Same number. Same analyzer. Same accuracy. Different actions given different timings.
We build as if the information is the product.
The model that’s 94% accurate and fires after the disposition is decided isn’t 94% anything. It’s a report.
The deterioration score that was right at 3 a.m. and surfaces in Monday’s dashboard is an audit.
The best differential in the world, hours late, is documentation.
We measure accuracy because accuracy is easy to measure. You can put it on a leaderboard.
We measure latency too — but as an engineering number. Milliseconds to response. Not the clinical version of the question, which is whether it arrived while the decision was still open.
I keep circling the feeling that there’s a whole kind of scoring in there that nobody does. Not how often it’s right. How often it’s right in time.
Here’s the part I’d defend in a room full of people who disagree.
You cannot learn the window from the data. It isn’t in the data.
The window is a lived thing. It’s knowing that between the moment a resident says “I think we’re sending him home” and the moment the note gets signed, there are maybe ninety seconds where a new fact can still change what happens — and after that it can only change the wording.
You know those ninety seconds. Nobody who hasn’t worked a shift knows they exist.
TL;DR
Same information. Different moment.
You don’t need a better model.
You need the right eight hours.
Accuracy you can buy by the API call. It arrives the same for everybody who pays.
The window doesn’t. It’s the residue of a few thousand shifts, and there’s no way to hand it to someone who hasn’t stood there while one closed.
It’s the one input you already own.
Most of us are spending it on the wrong question.
You have a unique combination of skills, experience and values. So do great things! … and tell me about them at kevin@clinicians.build.
— Kevin & AI
(please verify content for yourself, partially AI generated and may contain errors)