AI Patient Intake for Medical Practices

MedReception AI uses conversational language models that ask questions naturally, like a human intake specialist would. The system adapts to patient responses, skips irrelevant questions, and follows up on important details—creating a natural, human-like experience.

The AI can note 'patient unsure' or 'will verify' for fields that need confirmation, and flag that item for clinical staff to follow up on before the appointment. This prevents holding up the booking process.

Yes. The AI is trained to recognize high-risk information (severe allergies, recent surgeries, medications with interactions) and can immediately flag these for clinical review or escalation to a nurse or provider.

Both. The AI identifies if a caller is an established patient, retrieves their existing record, and updates it with any new information. New patient records are created for first-time callers with all intake information prepopulated.

AI intake is efficient but conversational. A typical intake conversation takes 2–5 minutes, depending on patient complexity and how much information is already in the EHR. This is faster than waiting for a staff member and often less awkward than a written form.