StatRounds is a free educational emergency medicine simulator for clinicians and students. You manage a fictional patient in real time: order tests and treatments, watch the vitals, and get a scored debrief.


IMPORTANT: EDUCATIONAL USE ONLY. This is not medical advice and must not be used for real patient care or to guide clinical decisions. Every case is an unreviewed prototype with placeholder physiology, scoring and doses. No clinician has validated any case yet (status: REVIEW REQUIRED). Source citations are shown in the game but have not been verified against the primary documents.


All patients and cases are fictional.


Modes: Learn (a short lesson first, then the live case), Clinical Practice, Diagnostic Challenge and Custom. Six visual styles are available.


How to play: works on a computer (Chrome, Edge or Firefox) and on an iPad held in landscape. Start with Beginner difficulty. Press Play (or Space) to start the clock.


Privacy: no accounts and no tracking. Your progress and any feedback you save stay in your browser on your own device. Nothing is sent to the developer unless you copy a feedback report and send it yourself.


Feedback: use the Feedback button in the game, copy the report and send it to the developer. Clinician reviewers are welcome. Found a bug or a clinical error? Post it on the Community tab of this page, or use the Feedback button in the game. Please include the case name, what you expected instead, and your source if you have one.


Reuse: please contact the author before reusing or redistributing the game or its case content.

Updated 4 days ago
Published 8 days ago
StatusIn development
PlatformsHTML5
Authorjwitherspharmd
GenreEducational, Simulation
Made withGodot
Tagsclinical-reasoning, emergency-medicine, Godot, healthcare, medical, Singleplayer
AI DisclosureAI Assisted, Code, Text
The game code and the draft clinical case text were written with Claude (Anthropic). No generated images or audio. All clinical content is unreviewed and awaiting clinician validation. An AI model (OpenAI Codex) was also used as an independent reviewer of the case data; its findings were checked and are not clinical validation.