Why Simagine
Turn competencies into experiences — and experiences into evidence.
Simulation works. But three constraints limit how much of it each learner gets, and how much evidence programs can see.
The problem: three constraints
Fixed content
Faculty often have to adapt their teaching to a vendor’s case library, rather than build cases that reflect their own curriculum, population and setting.
Limited repetition
Labs, actors and scheduled sessions restrict how often each learner can practise a conversation before it matters.
Fragmented evidence
Simulation, rubric scoring and program-level competency reporting often live in separate workflows, so evidence is hard to bring together.
A different model
Design what you need
Start from the competency and learning outcome, not from what a vendor library happens to contain.
Build the interaction
Describe the patient, their history and behaviour, the clinical boundaries and the rubric. No coding.
Let everyone practise
Every learner gets a responsive AI patient in a supported browser, repeatedly when you enable it.
See the evidence
Transcripts and criterion-level rubric feedback for every attempt, reviewed and owned by faculty.
Simagine is designed to complement simulation labs, manikins and standardized patients — not to replace them.