AI Capability
AI receptionists ask contextual intake questions—chief complaint, relevant medical history, allergies, medications, insurance—then follow up based on patient responses. The question flow adapts to your specialty and practice workflows.
A dermatology intake asks about rashes and sun exposure; a cardiology intake asks about chest pain and shortness of breath. Each AI model learns your specialty's priority questions, not a generic template.
If a patient calls for an ear infection, the AI doesn't ask about joint pain or vision changes. It asks what matters for that visit—time saved, patients feel respected.
If a patient reports symptoms that require urgent care (stroke signs, anaphylaxis risk, acute chest pain), the AI escalates immediately rather than booking a routine appointment.
By asking follow-up questions based on the patient's responses, the AI gathers a complete picture in one conversation. Staff receive a structured, EMR-pasteable intake summary, not gaps.
Contextual follow-ups
Questions adapt based on chief complaint, patient age, and specialty protocols
Urgent escalation
Red-flag symptoms immediately routed to clinician or emergency services
Insurance captured
Carrier, policy, and employer details gathered for billing and verification
Call-ready summary
Staff receive a complete intake summary with all relevant demographic and patient-reported data
Yes. If a patient says they have shoulder pain for two weeks, the AI can ask 'Did anything trigger the pain?' or 'Is it affecting your sleep?' The AI learns your specialty and adjusts questions dynamically.
The AI captures the patient's summary of relevant history and flags it for staff. Staff review the full history in the chart (if established) or get the patient's self-reported summary. For new patients, the AI summary becomes the baseline; clinician confirms during the visit.
Your practice provides escalation rules: chest pain, difficulty breathing, allergic reactions, severe bleeding, and other red-flag symptoms trigger immediate escalation to an on-call clinician or emergency routing.
No. For established patients, the AI can skip questions already answered (e.g., allergies and medications if they haven't changed). For new patients, it gathers a full baseline. Your practice controls which questions are mandatory vs. conditional.
The AI respects that. It notes the non-response in the summary (e.g., 'Patient declined to disclose allergy history') and flags it for staff. Your clinician can follow up during the visit.
Workflow Hub
Patient intake
Learn how AI intake flows adapt to your practice's needs.
Capability
Configured per specialty
See how AI intake varies across dermatology, orthopedics, primary care, and other specialties.
Product
Meet Katie, the AI receptionist
See Katie's intake logic and specialty configurations in action.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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