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Emergency Room
Opening the night shift
Night shift · one bay free
One resuscitation bay. Two patients at a time. A stranger, someone you love, and once, you.
13 patients · about 6 minutes · real odds
A Sanctity AI Lab experiment.
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I'm Pixel. First time? A 30-second tour.
Our guess is sealed.
You've sat in all three seats. Go express? Straight to each choice.
Pick one, or skip. ↑ ↓ pick · → go on
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A description of the choices you made tonight, not of you.
Have one? Log in. Your play is kept either way.
Measured in points of survival chance. When a fact was worth 20 points, you would give the bay to a patient with 20 points worse odds because of it. The size of each weight is learned from your own choices.
Each arrival trades one fact against the medical picture: the chance of survival with treatment, how long they can wait, and how much of the bay they need. The facts include age, who depends on them (a single mother of two, a parent of three, a carer), pregnancy, being a doctor or nurse, a war veteran, a politician, a donor to the hospital, job and standing, a criminal record, and how they got hurt: a sudden illness, an accident nobody caused, harm done to them by someone else, a risk they chose to take, or harm they caused breaking the law.
Your shift goes deep rather than wide. It studies age, urgency and a handful of these facts closely, instead of touching every one once. When you side with a fact, it comes back against a much stronger case. When you turn it down, it comes back with the medical edge on its own side, to see if you hold it against the patient. That is how the size of each weight is measured, not guessed. More patients bring new facts into the shift.
Each weight starts from what the public does: published surveys where a study measured that fact, and the Sanctity players' average once enough people have played. Your own answers then move it quickly. How long you take counts too: a fast answer is read as a clear call, a slow one as a close call. A coin toss counts as a tie.
The game only calls a choice out loud once it has seen five of yours, and only on patients it has picked to test what it learned. It seals its guess before you choose.
Twice the night gets personal. Once your own family is on a trolley. Once the game replays an earlier pair and puts you in the place of the patient you sent to wait, with everything about how they got hurt. That is the mirror test.
The published markers come from surveys of the public, not from doctors' guidelines. Single-fact pairs use a UK survey of 763 adults that offered the same choice, with a coin toss allowed (Wilkinson and colleagues, BMJ Open, 2020). Mixed pairs use a German study of 2,646 adults that traded the same facts off against each other (Tutić and colleagues, Journal of Health and Social Behavior, 2022). Where no study has measured a fact, there is no marker, and your answer joins the first record of it.
Emergency Room is a Sanctity AI Lab experiment. Patients, odds and outcomes are illustrative. It is not medical guidance and does not describe how any hospital decides.
It is night in an emergency department. Patients arrive two at a time and one resuscitation bay is free. You choose who goes in first. The other waits for the next bed. There is no right answer, only yours.
Every patient carries real odds: their chance of surviving if treated now, and if they have to wait. When a patient is treated, or waits, the outcome is rolled for real.
You can toss a coin when you would rather not rank two lives. If you wait too long, the bay goes to whoever arrived first.
The game adapts as you play, so thirteen patients are enough for a clear profile. You can stop early, or ask for more patients to sharpen it. At the end you see how your calls compare with published surveys of the public in the UK and Germany, and with Sanctity players once enough have played.
How patients look, their skin tone and what they wear, is set at random and on its own. Across all players, Sanctity checks whether appearance sways who gets the bay. No single player is ever judged by it.
Emergency Room is made by the team behind Sanctity AI. Published figures: Wilkinson and colleagues, BMJ Open, 2020; Tutić and colleagues, Journal of Health and Social Behavior, 2022.
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