How accurate is the facial recognition used in the Patient ID module?

The Patient ID module uses advanced infrared facial recognition technology that offers the highest level of patient identification accuracy (i.e. delivering very low False Acceptance Rates [FAR] with clinically acceptable False Rejection Rates [FRR]).

The Patient ID module uses a clinically appropriate authentication threshold which results in a FAR of 0.004%, rendering false recognitions virtually impossible.

Based on this FAR figure, if 1 person came to the department every day to claim they were somebody else, it would take 68 years for the system to falsely accept them once.