Medical students deserve a place to practise before they practise.
Aviation has flight simulators. Surgery has procedure labs. But for most clinical reasoning decisions (the ones that determine diagnoses, investigations, and management) medical students have only textbooks and hope. MediKarya is trying to change that.
The problem we're solving
Medical students in India spend years learning anatomy, physiology, and pathology. Then they step into a ward and are expected to translate all of that into real-time clinical decisions, often with minimal supervision, on patients they've never seen before.
The supervised bedside learning that used to fill this gap is shrinking. Patient loads are high, attending time is limited, and students observe more than they do. The consequence isn't just slower skill development. It's clinical decisions made with incomplete confidence.
We believe a structured simulation environment, built around realistic Indian clinical cases, can change this. Not by replacing clinical experience, but by preparing students to use it better.
What MediKarya is
MediKarya is an AI patient simulation platform. Students interact with a virtual patient presented with a chief complaint, working against a real bedside monitor with live vitals. They take a history, order investigations, interpret results, and rank a differential, a working diagnosis, a real alternative, and the one they can't afford to miss, before submitting a management plan. The AI evaluates their reasoning at each step, not just whether the final diagnosis was right, but whether the clinical thinking was sound. Then comes the part that makes it stick: a debrief that sets what they did well beside the consequences of what they missed, an expert walkthrough of the case, and five questions drawn from the gaps that attempt showed.
Cases are built around real clinical presentations: the kinds seen at district hospitals and tertiary centres across India. Paediatrics, obstetrics, neurology, medicine. Each case comes with evidence-based learning objectives, structured differentials, and teaching points grounded in current guidelines. Cases contributed by medical students, from patients they have seen, are checked by a doctor before they are published; the rest are written by the MediKarya team from standard textbooks and current clinical guidelines.
What we believe
Practice-first learning
The best way to learn medicine is to do medicine. We build environments where students can attempt, fail, and improve, before the stakes are real.
Diagnostic reasoning over recall
Knowing facts isn't enough. We train the clinical thought process (differentials, investigation strategies, management decisions), not just what the answer is.
Honest feedback
Two scores, not one: what you did, and what you did without any help. Students deserve to know exactly where their reasoning broke down and what a better approach looks like.
Built for India
Our cases are grounded in the Indian clinical context: the diseases, presentations, and resource constraints that matter for the students using this platform.
Where we are right now
MediKarya is in early development. We currently have 68 published patient cases across 19 specialties, 16 of them live emergencies where the patient deteriorates based on how they're managed, and are actively building the case library and platform features. If you're a medical student, clinician, or educator who wants to help shape what this becomes: we'd genuinely like to hear from you.
We're based in India and building this for the Indian medical education context, with a longer-term goal of expanding to other LMIC settings where the same gap exists.