The communication frameworks we apply were built for trained human raters. Applying them through AI in simulated encounters goes beyond the settings in which their published reliability was established.
Consistency between model runs isn't agreement with expert human raters. We haven't completed faculty-rater validation on a customer's own rubric, and we don't claim our scores are more accurate than faculty judgment.
Read the scoring method and limitsKeep practice feedback formative
ClinicalSim output is formative. It is evidence that informs program judgment, and it is not intended for employment, credentialing, privileging, licensure, or other high-stakes decisions.
ClinicalSim does not predict patient experience scores, readmissions, safety events, claims, or other clinical or business outcomes. Any comparison with institution-held outcome data requires a separate study plan.