Workflow
New interventional pain patients arrive with complex histories: prior surgeries, imaging results, comorbidities. AI captures these details during first contact so your clinicians spend appointment time on diagnosis and treatment, not paperwork.
Your interventionalist opens the chart and sees the patient's surgical history, prior imaging findings, medications, and comorbidities. Appointment time is used for diagnosis and planning, not chart assembly.
AI asks whether recent MRI or CT exists. If not, your staff arrange imaging before the appointment so the clinician can proceed with diagnosis. No wasted visits waiting for scans.
Knowing whether a patient was referred for a specific question (radiculopathy vs. axial pain) helps your clinician prepare. Prior imaging and specialist notes inform the initial treatment discussion.
If a new patient is on warfarin, has severe cardiac disease, or has prior adverse reactions to anesthetics, this is flagged upfront. Your clinician can adjust procedure planning and risk counseling before the visit.
Complete surgical and imaging history captured at intake
Prior procedures, MRI/CT findings, and specialist notes documented
Comorbidities and medication allergies flagged
Cardiac, anticoagulation, and anesthetic risks identified upfront
Referring provider context linked to intake
Clinical question and prior specialist assessments included
Imaging gaps identified before first visit
Staff arrange missing scans so clinician can proceed with diagnosis
Prior spinal surgeries, injections, or ablations; imaging studies and their findings; specialist evaluations; current pain medications; allergies; comorbidities (diabetes, cardiac, anticoagulation); and the clinical question from the referring provider (e.g., 'evaluate for facet pain').
The AI asks about recent imaging and its general findings. If the patient is unsure, AI captures that, and your staff reach out to the referring provider or patient's primary care for prior imaging reports before the appointment.
The AI captures the referring provider's name and clinical question. This is included in the summary so your clinician knows what problem to prioritize in the initial assessment and imaging review.
The AI books the appointment based on availability and clinical urgency (acute pain vs. chronic management). Your staff confirm insurance, prior auth requirements, and any special scheduling needs (e.g., imaging must be on file first).
All AI-captured details are returned as a structured, EMR-pasteable summary. Your clinicians review it before the patient arrives to see the complete history, allergies, comorbidities, and imaging context. The summary is designed for your staff to file into your clinical record system.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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