Workflow
New patients calling with pain don't have a chart yet. An AI receptionist captures chief complaint, pain history, medications, allergies, and past procedures on the first call. Staff review the structured summary for clinical accuracy and scheduling barriers.
Rather than a new patient showing up with an incomplete questionnaire, your RN receives a structured summary from the intake call: pain description, prior treatments, medications, and medical history. This accelerates clinical decision-making.
AI documents anticoagulation use, NSAID allergies, and interactions with pain medications. Your clinical team can identify conflicts before the patient arrives and adjust management proactively.
AI asks about kidney function, diabetes, cardiac disease, and other conditions that affect procedural risk. Patients with concerns are triaged to clinician pre-visit review before scheduling.
Missing imaging, prior authorization needs, or clinical red flags are surfaced during intake. Your team addresses these before booking so patients don't call back three times to complete scheduling.
Name, date of birth, phone, and contact information are written to your EMR as a new patient record. Your RN reviews the intake summary and files it as part of the initial visit prep.
The structured intake is ready for review—not buried in handwritten notes or waiting for the patient to fill out a portal form hours later.
Complete pain history captured on intake
Chief complaint, onset, character, location, and prior treatment documented
Medication conflicts and allergies surfaced
Anticoagulation, NSAIDs, and drug sensitivities flagged for RN review
Procedure-relevant comorbidities documented
Kidney disease, cardiac disease, diabetes, and other risk factors noted for clinical triage
New patient record created in EMR
Name, DOB, phone, and appointment details written; staff review intake summary before filing
The AI gathers enough information for your RN to make that determination. It asks about pain characteristics, prior treatments, and medical history. Red flags or complex histories are flagged for clinical review, and your team decides whether the patient is a good candidate or should see a physiatrist or pain medicine physician first.
The AI asks for details: color, shape, what they're used for, or the prescribing doctor's name. If details are vague, the AI documents the uncertainty and flags it for your RN to clarify during the first visit or through a callback.
Yes. The AI asks whether the patient has had pain injections, blocks, or ablations before, and what the results were. This helps your team understand whether this is a new condition or treatment failure that may need a different approach.
Your RN receives the structured summary before or during the patient's first visit. The RN reviews it for accuracy and completeness, asks clarifying questions if needed, and files it as part of the intake documentation. The AI captures and returns this summary; your staff controls what gets filed in the chart.
The AI documents the symptom description and flags it in the summary for RN review. Symptoms suggesting acute neurological changes, spinal cord compression, or infection are noted as urgent for clinical evaluation before scheduling.
In most cases, yes—if imaging is available, insurance pre-auth is not required, and the RN has reviewed the intake and determined the patient is appropriate for an intervention. Some practices require a clinician consultation first; your practice's workflow is built into the AI's scheduling rules.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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