FDB commercially deployed FDB Script Agent, an AI prescribing tool that converts ambient patient encounter dialogue directly into structured prescriptions. The agent applies FDB's drug terminology codification and clinical validation to what it hears, so the output is a coded medication order rather than free text, and it queues that order for clinician review rather than transmitting it. It launched first on the Tebra platform. This moves ambient listening past documentation and into order entry, which is a materially different risk surface.
Our readPractices can cut the manual keystrokes of prescription entry, which is one of the slowest steps left in an otherwise automated encounter. The important detail for evaluators is that FDB owns the drug knowledge base underneath the codification, so the structured output inherits an established terminology layer rather than a model's guess at a drug name and dose. Anyone assessing this should focus on the review step: what the clinician sees before signing, and what happens when the agent mishears a dose or a route.