Workflow
Not every pain patient is a candidate for your procedures. AI reception screens for typical pain history, location, and prior treatments so your clinical staff focuses on qualified candidates, not intake questions.
Your providers spend intake time on clinical assessment and shared decision-making, not basic history questions. Structured summaries from the AI answer 'why is this patient calling?' before the appointment.
Callers whose pain profile matches your procedures get rapid scheduling. Callers who need different care (primary care referral, surgical evaluation) are identified and appropriately routed, reducing no-shows and wrong-fit appointments.
Anticoagulation, recent infection, or severe comorbidities that complicate procedures are surfaced before scheduling. Prevents wasted appointment slots and clinical surprise.
Coverage and prior auth requirements are captured at intake. Staff can initiate authorization requests immediately instead of discovering barriers on the day of the visit.
Intake screening completed
Pain history, location, prior treatment, and contraindications captured before clinician touch
Candidate profile matching
Structured summary flags whether caller matches typical procedure candidate or needs alternate pathway
New patient chart prepared
Demographics, appointment booking, and pain summary ready for appointment check-in
Named EMR integrations
New patient creation and demographics sync directly into athenahealth, eClinicalWorks, Epic, Elation, Cerbo, Hint, Tebra, AdvancedMD, and ModMed
Your clinical team provides training on typical candidate profiles: pain location, duration, prior treatments that failed, and any red flags. The AI asks structured questions and compares responses to that profile. The summary flags fit level, but your clinicians make the final determination.
The intake is still captured and structured. Your clinical staff reviews the summary and decides if they want to see the patient for alternate evaluation or if a referral is more appropriate. Nothing is rejected without clinician input.
Yes. The AI asks about current medications, recent procedures, and active infections. Responses are flagged in the summary. Your clinical team reviews before scheduling to avoid contraindicated procedures.
Yes. High-fit candidates can be scheduled quickly because intake is already complete. Your scheduler has the structured summary and knows the caller is ready. Reduces intake appointment time and scheduling delays.
No. Your clinical team trains the AI by describing your typical candidate. The AI learns to ask the right questions and flag matches. EMR integration is optional; the AI works from the training you provide.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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