Train the decision before the real patient
Cases that react to what you do, like a real shift. You decide, the patient changes, and the answer only arrives in the verdict.
The catalogue opens without an account; playing a case needs one.
Man, 58, chest pain for 40 minutes. ECG with ST elevation in V1–V4. What is the immediate course of action?
This doesn't change your score directly — it's a space to record your reasoning.
Option 2 was chosen: the patient gets worse, and the line below says so.
Knowing the answer is not knowing how to decide
Three gaps that a case that reacts exposes.
Your conduct changes the patient
In an exam the option does not react. On shift, your choice changes what comes next.
The serious mistake stays hidden
A good average can hide an unsafe decision. Here the critical error caps the grade.
Nobody shows the source
Each point of the verdict cites the guideline it came from.
Four steps, one case
704 clinical scenarios published so far, all AI-generated.
Choose a case
Pick a clinical scenario matched to your training level.
Decide
The call at each decision point, as on a shift.
See the consequence
Vitals and the patient's condition react to your choice, live.
Get the verdict
A full breakdown of your decision-making, reasoning, and safety at the end of the case.
- clinical_simulationResident
Cardiology · ST elevation myocardial infarction
Case ref. case_pilot_dor_toracica_sca_v1
View case
The click opens the case; the catalogue needs no account.
The score has a ceiling, and the ceiling is safety
A score per axis, capped
One critical error caps the final score, however good the rest was. The radar shows where to train.
A critical error was found in one decision in this case, so the final score is capped below the competency average — safety works as a ceiling, not part of the average.
Affected: decision 3.
Average 82, final score 60: one critical error at decision 3.
What Training does not do
The same rules are written inside the product, in the step that explains how you are assessed.
Cases generated on the fly
Every scenario is AI-generated and fixed before you open it. No health professional writes or reviews it.
Right or wrong mid-case
During the case, only the patient's reaction. The critical error is named in the verdict.
Here, safety counts more than being right
How each axis feeds your final score:
- DecisionThe right call at the decision pointAVERAGE
- ReasoningQuality of the clinical justificationAVERAGE
- ContextUse of patient state in the decisionAVERAGE
- SafetyAbsence of a critical errorCEILING
Not part of the average — one critical error caps the final score, no matter how strong the rest is.
If the safety check cannot run, that decision goes under review and stays out of the score until it is settled.
Three axes go into the average. Safety does not: it caps.
What stays between one case and the next
Mock exams with a recorded attempt
Multiple choice, timed, Enamed format: one hundred questions, four choices. The score sum is a fixed rule over an AI-generated answer key.
What to train next
Radar, history and areas of attention, each linked to that topic's cases.
A 62-year-old with chest pain for 2 hours and ST elevation in II, III and aVF. What is the immediate management?
Right and wrong only after the attempt is finished.
Exam question, or a case that reacts
The same reasoning, with and without consequence.
Exam question
One question, one right option
You pick and that is it.
The patient does not change
Nothing happens after your answer.
The grade is right or wrong
A serious mistake and a minor one weigh the same.
Clinical case
You decide at each point
And the patient reacts, live.
The answer arrives in the verdict
During the case, only the patient's reaction.
The grade has axes and a ceiling
A critical error caps the final grade.
When to use it
Before the internship
Train your conduct before you stand in front of the patient.
After studying a topic
See the topic in a situation, not only in text.
To review a mistake
The history takes you back to the case and the verdict.
Questions about the cases
Are the cases about real patients?
No. They are AI-generated cases for training, with no health-professional review, and nothing here is conduct for a real patient.
Does the AI make up the case?
Each scenario is AI-generated in advance and fixed; the AI does not improvise the case during the session. No health professional writes or reviews it.
What happens if the internet drops?
The decision waits in a queue and is sent when the connection returns. That does not count as a mistake.
Can I dispute a grade?
You can. Every critical error has a dispute button.
Start with the first case
The catalogue opens without an account. Playing a case asks for one.
Start your training- The catalogue opens without an account
- Verdict with a source
- Grade with a safety ceiling