Workflow
Pain patients call for different reasons: emergency post-procedure symptoms, medication refills, new consultation requests, or follow-up questions. MedReception's AI routes each call appropriately—urgent cases to a provider, routine refills to your nurse line, new patient inquiries to booking.
A patient calling about post-procedure fever doesn't wait for a nurse triage callback—the call routes to the on-call provider immediately. A patient calling to refill their pain medication reaches your nurse line, not the front desk. A new patient inquiry goes to scheduling. Each call is routed once, based on its urgency and nature.
Providers spend their time on urgent cases and complex clinical questions, not fielding routine refill requests or appointment availability questions. The AI handles call intake and initial routing; your nursing and administrative staff handle the volume.
Your nurses receive calls that are already categorized as refill, medication adjustment, or symptom-specific questions. They have the caller's intake information in front of them (name, phone, reason for call, and any details shared during the call)—delivered as a structured summary—so they can answer or escalate with context—not playing 20 questions to figure out what the patient needs.
Callers asking 'Do you take my insurance?' or 'Can you help with my condition?' are routed to your appointment booking system. The AI gathers their initial info, answers common questions, and hands them off to scheduling for immediate booking—not a callback days later.
Every call routed by urgency and type
Emergencies to providers, refills to nursing, new patients to booking, routine questions to callback queue
Caller context delivered with the route
Providers and nurses receive patient history, current medications, and reason for call before pickup
Workflow compliance and logging
Every routing decision timestamped and categorized, enabling quality review and workload analysis
Reduced call transfer and hold times
Callers reach the right destination on the first transfer, eliminating redundant handoffs
During setup, you define urgency rules for your clinic. Keywords like 'fever,' 'bleeding,' 'can't move my leg,' 'severe pain,' and 'allergic reaction' trigger urgent routing. You also set urgency thresholds (e.g., calls within 72 hours post-procedure are flagged as urgent). Callers can also self-identify as urgent. The AI uses all these signals to route appropriately.
The AI asks clarifying questions to narrow down the reason. If the call still doesn't fit a category, it's held for a callback from your intake coordinator or clinical staff. The AI documents the reason and flags it for priority handling.
The AI gathers the refill request (medication name, current provider, last fill date) and routes it to your nurse triage line or pharmacy coordination team. Your clinical staff reviews and authorizes refills; the AI doesn't prescribe or approve without oversight.
The AI gathers their name, date of birth, phone, email, insurance, and the reason for their call (e.g., 'looking for pain management for chronic back pain'). This information is routed to your new patient booking team, who can schedule a consultation or triage call immediately.
Yes. During onboarding, your team works with MedReception to define urgency rules, specialty routing (spine vs. non-spine providers), nurse triage criteria, and callback queue priorities. Routing rules are updated as your workflows evolve.
Yes. When an urgent call routes to a provider, a summary appears on their phone or in the EMR: caller name, procedure history, current medications, reason for call, and any symptoms mentioned. The provider has context before they say hello.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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