Workflow
Post-procedure follow-up calls and non-urgent patient callbacks clutter the front desk. AI filters these into a prioritized queue, reducing urgent call volume and enabling staff to focus on new bookings.
Day-of and next-day follow-up calls asking about swelling, soreness, or medication side effects are identified by AI and queued for nurse callback. Front desk is unblocked for new procedure requests and urgent callers.
Nurse sees: caller name, procedure type and date, chief complaint from intake call, and new concern (e.g., 'Injection site warm to touch, asking about fever'). No repeat history-taking. Callback is fast and focused.
Non-urgent soreness is scheduled for next available slot. Concerning symptoms (fever, worsening weakness) are flagged as priority callbacks. Nursing time is allocated where it matters most.
Patient knows: 'A nurse will call you back within 2 hours' (or per your SLA). Transparency reduces frustration. Queued calls are handled; no callers fall through the cracks.
Every queued call is documented: patient concern, AI triage decision, callback assigned to nurse, and outcome noted. Clinical oversight and liability protection are strengthened.
Callback queue with prioritization
Post-procedure and non-urgent calls queued by severity; urgent calls escalated
Structured call documentation
Caller intent, procedure date, and clinical concern captured for nurse review
Front-desk phone load reduced
Callbacks no longer block new bookings and urgent triage
Patient communication and SLA tracking
Patients notified of callback timing; staff see queue status and time since call
Callback summary available alongside appointment record
Callback details captured and presented to staff for review and documentation
The AI triages the call in real time: asks brief questions about symptoms, documents patient intent, and assigns to queue. The entire call takes 1–3 minutes. Patient receives: 'A nurse will call you back to check on your injection site. Expect a call within 2 hours.' Call is then queued.
The AI asks targeted screening questions. For example, if patient reports 'numbness in my leg,' the AI asks: 'Since when? Both legs or one? Any weakness? Loss of bowel/bladder control?' Based on answers, numbness that began weeks before and is stable is non-urgent callback. Sudden numbness or progressive weakness is escalated.
If they report urgent symptoms (fever, severe weakness, loss of bowel control), the AI escalates immediately to on-call provider or ER guidance. For non-urgent concerns, the patient is queued per your standard SLA. Your staff can override if a specific patient has standing priority.
Your staff set callback SLAs (e.g., 'Post-procedure calls returned within 4 hours; non-urgent within 24 hours'). The queue displays priority and wait time. If SLA is breached, staff are notified. You can hire per-diem nurses or defer non-urgent calls to next day without abandoning callers.
Yes. Queued calls appear in a dashboard linked to your EMR and appointment record. Staff can sort by priority, procedure type, or time since call. When a nurse calls back, they have full context (appointment details, prior intake summary, and callback reason) in one view.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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