A practice layer for clinical reasoning. Designed to build on your teaching.
Medical student numbers are rising faster than the parts of training that matter most can scale. Repeated consultation practice and clinical reasoning with feedback depend on scarce supervised teaching time, and that has been the structural challenge in medical education for years. As cohorts grow further, the per-student arithmetic only sharpens.
Clinical AI is moving into practice quickly. Tomorrow's doctors will spend their careers working with capable models - and increasingly overseeing them. The supervisory acumen senior clinicians currently built over decades of supervised practice will need to be present much earlier. That puts a higher bar on clinical reasoning, not a lower one - and that requires a lot more reps.
Students rehearse consultations with simulated patients, receiving structured feedback grounded in clinical sources rather than freestyle AI output. The aim is better prepared students for their placements and the workforce, so supervised teaching time goes further. If you're working on how to scale the capacity of your clinical reasoning teaching, this is a conversation we'd like to have.
Email our CEO, Alastair, directly - he'll reply personally.