The vocabulary around medical simulation is becoming crowded: virtual patient, AI patient, simulated patient, clinical voice simulator. They overlap, but they don't necessarily describe the same experience.
Virtual patient
A virtual patient generally refers to a digitally represented clinical case. The learner may progress through information, decisions or predefined pathways. Virtual patients existed long before modern generative AI, and their fundamental idea remains powerful: create a patient encounter without requiring a real patient.
AI patient
An AI patient adds dynamic interaction. Rather than navigating only predetermined options, the learner may interact more freely with the simulated patient. Generative systems make those interactions substantially more flexible — but flexibility creates another requirement: clinical consistency. A convincing conversation isn't useful if the underlying case changes unpredictably.
Clinical voice simulator
A clinical voice simulator emphasises spoken clinical interaction as part of a broader simulation. The learner doesn't simply consume patient information; they obtain it through conversation.
But voice alone shouldn't define the category. The meaningful question is what happens after the conversation — can the learner examine, investigate, reason, diagnose, manage and receive structured review? SYNTAX spans those stages rather than ending at patient dialogue.
The categories aren't mutually exclusive
A product could reasonably be a virtual patient, an AI patient and a clinical voice simulator at once. The terminology describes different characteristics.
What matters to educators and students is less the label than the learning activity: does the learner passively receive the case, or do they have to conduct it?
For clinical reasoning education, that distinction may be the one that matters most.