After-Hours Answering
Internal medicine practices field calls long after the front desk leaves. MedReception's after-hours AI receptionist, Annie, answers every call instantly, logs the patient's concern with urgency flags, and returns structured summaries to your team. Callbacks are queued by priority so urgent cases reach a clinician first, and routine follow-ups are scheduled the next business day. Your practice controls the routing rules; the AI handles the volume.
By MedReception AI, physician-built by Paul Toomey, MDPublished
Annie answers every call the moment it comes in. Your team doesn't arrive to a voicemail backlog or a list of angry callbacks. Instead, you get a prioritized queue with structured summaries so you know which patients need a callback first.
You set the escalation rules. If a caller reports chest pain, difficulty breathing, or any condition you flag as urgent, Annie routes the call to an on-call clinician or to your emergency protocol. Routine calls wait in the queue and are handled during business hours.
MedReception is custom-built for your practice. You define what counts as urgent, who gets routed where, and how callbacks are scheduled. Annie follows your rules; you make the clinical decisions. Every edit and optimization is free, forever.
Whether you use athenahealth, eClinicalWorks, Elation or another supported EMR, your callback queue and patient summaries are returned to your team for review and filing. If you change EMRs later, your AI receptionist comes with you, no re-setup, no lost context.
Every call answered
Day or night, no voicemail dead ends
Urgent calls escalated
By the rules you set, not the AI's guess
Structured intake summaries
Your team reviews, decides and documents
13+ EMR integrations
Callback requests and patient data available to your system
You define urgency rules during setup. For example, you might flag chest pain, severe headache, or fever above 103 as urgent; Annie escalates those calls to your on-call clinician or protocol. Routine calls (appointment requests, medication refills, lab results) stay in the callback queue and are handled during business hours. Your practice controls the thresholds.
Annie answers and asks the patient's chief complaint. If it matches an urgent flag you've set, she routes the call immediately to your on-call clinician or your emergency protocol (e.g., 911 or your local ED). If it's non-urgent, she captures the reason and schedules a callback for the next business day. You decide the escalation path.
No. Annie captures the callback request with the patient's reason and urgency. Your team reviews the queue, prioritizes by urgency, and books appointments into your calendar. Sallie, our scheduling AI, can then confirm the appointment with the patient. You stay in control of what gets booked and when.
Yes. Annie accesses your EMR and has the patient's name, date of birth, phone number and visit history. She uses that context to ask smarter questions and route the call correctly. The patient's chief complaint and any new information are returned as a structured summary for your staff to review and file.
Annie still answers every call, handles intake and captures the patient's reason. Your staff can enter the callback request manually, or custom integration is available: want MedReception integrated with your EHR? We build custom EHR integrations; book a demo and we will scope yours.
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Next step
Workflow playbooks
Step-by-step workflows for the calls a practice actually gets.
Next step
Primary care practices
How call handling differs for primary care practices.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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