Scenario Architecture
One clinical prompt generates a structured case: opening vignette, evolving vitals, labs, imaging, decision points, and a management arc — all medically coherent.
Clinical Rounds generates structured medical cases with real decision points, knowledge-graph context, guideline-anchored feedback, and post-session analytics — designed for residents, attendings, and faculty teams.
One clinical prompt generates a structured case: opening vignette, evolving vitals, labs, imaging, decision points, and a management arc — all medically coherent.
The platform tracks where the learner anchored, delayed, or shifted their differential. Feedback is tied to the specific decision point, not a generic summary.
Guideline excerpts surface at the exact moment a decision is made — not buried in a PDF. Source, strength, and clinical applicability are shown in context.
Patient constraints (renal function, pregnancy, bleeding risk) scope the recommendation space. The same clinical scenario produces different valid pathways for different patients.
Each session generates a reasoning audit: what the learner did, what was optimal, where they diverged, and which evidence should have changed the trajectory.
Faculty can build shared case sets, track cohort reasoning gaps, and prepare debrief materials from real session data — without rebuilding content from scratch.
Enter a diagnosis, syndrome, or short clinical scenario. The engine constructs a coherent patient, a logical disease course, and the decision architecture for the session.
Work through the case as it evolves. Order investigations, reassess after new data, choose interventions. The platform tracks every decision and its timing.
At each key decision point, see the guideline anchor, the knowledge graph constraint, and the counterfactual — what changes if the patient context changes.
After the case closes, the session generates a structured review: reasoning quality, stewardship score, evidence coverage, and where the trajectory diverged from the expert path.
Every significant management choice is anchored to the specific guideline excerpt that should inform it — not a bibliography at the end of the case, but the exact recommendation at the point of divergence. Source, strength, and applicability are shown in context.
Low-risk acute chest pain → use structured risk assessment first; urgent testing not routinely required before evaluation completion.
The knowledge graph maps patient constraints — renal function, pregnancy, bleeding risk, drug interactions — to the recommendation space. When a constraint changes the optimal path, the platform shows you which factor changed and why the recommendation shifted.
Work through an actual CKD + hypertension management decision. Evidence, knowledge graph cues, and coaching are live.
Outpatient intensification can preserve kidney-protective therapy without unsafe K⁺ escalation. SGLT2i reduces cardiovascular and CKD progression risk at eGFR ≥20.
Each session closes with a structured report: reasoning quality scored against the expert pathway, stewardship patterns across similar cases, and evidence coverage — where you acted without guideline anchoring, and what should have changed the plan.
Stewardship insight: You avoided low-value imaging by using a pregnancy-adapted rule-out pathway before CT in a stable presentation.
Your report highlights not just what you did, but which patient constraints and evidence links should have shaped the path.
Enter a diagnosis or clinical scenario. Get a structured case with decision points, evidence anchors, and a post-session review — ready for solo practice or teaching.