Skip to documentation
ReferenceStart here

Start here

Campus simulation and assessment

Run published Suite scenarios and review evidence-based formative grades.

Campus discovers published scenarios by topic, specialty, and audience. Runs preserve their published revision, decisions, orders, simulation time, readings, and reflection in the learner's account. Patient and monitor views use picture-in-picture, with actions and text or browser voice dictation alongside.

The executable Suite profile supports optional education.assessment criteria: id, label, actionId, points (1–100), feedback, optional withinSeconds (elapsed time from the start), and optional HTTPS learningUrl. Each criterion must reference a learner action. Completed runs receive the percentage of authored points earned. Repeated actions earn a criterion only once. Without criteria, the run is not graded. Gradebook insights describe evidence from the latest completed attempt per scenario; scores are formative rather than validated measures of clinical competence.

Optional environment.patientScene contains modelUrl (local or HTTPS GLB/glTF), attribution, and markers with actionId, position, and normal as three model-space coordinates. Only markers linked to currently available actions appear. Builder includes seven patient variants: adult male/female, school-age boy/girl around age 8, obese adult male/female and pregnant adult, independently selectable across inpatient/ICU, ER, OR, ambulance and street-stretcher settings. Named marker positions follow patient proportions. Automatic selection supports adults and school-age children ages 6–12; other pediatric ages require matching custom assets. Pregnancy and body habitus are explicit selections. Bundled chest/gown breathing follows authored respiratory rate and respects pause/reduced motion. Custom assets supply their own patient and setting. Missing or failed models retain authored patient information and sidebar actions.

These fields extend the Suite execution profile, not the portable format. Chat resolves authored history/examination and exact available action names; uncertain matches require selection and never invent interventions. Waveforms are schematic renderings of authored vital values, not physiological predictions.