SimDoc was born from a simple observation: medical students learn enormous amounts of factual knowledge, but they rarely practice structured patient approach before exams. We're building the place where that can be trained safely.
We transform the clinical process (history, examination, diagnostics, diagnosis, treatment) into realistic, repeatable simulations with structured feedback. Not multiple-choice, but the approach itself.
Every case ends with an honest evaluation across six competence dimensions, so it's clear what to work on next.
We see SimDoc as a fixed part of M2 and M3 preparation and eventually as a tool medical faculties integrate into their curriculum.
Clinical judgment shouldn't develop only on the ward, but where mistakes have no consequences: in simulation.
Our audience is focused, time-critical, and skeptical of gamified learning apps. That attitude shapes the product from tone to interface.
No game-like look, no badges, no "AI magic" theater. Language and approach match what's expected in exams and on the ward.
Rationale, not just grades. We show missed differentials and unnecessary diagnostics with clinical logic, even when it's uncomfortable.
Findings, scores, and specialties must be scannable. Calm surfaces, clear hierarchy, one accent for actions: information density is a feature here.
However different their training stage, all expect clinical seriousness and quick orientation.
Especially preparing for M2 and M3. Structured learning plans, clear daily focus, measurable progress instead of flashcard chaos.
Practice rare or complex cases risk-free and sharpen diagnostic approach between shifts.
Long term: integrate realistic case simulations into the curriculum, with traceable competence evaluation per cohort.
Free for students. Content is for education, not patient care.
History, examination, diagnostics, diagnosis, treatment, and communication: individually scored.
Developed in Germany, funded by Startup BW and Arise.