Workflow
Interventional pain clinicians spend appointment time gathering procedure history. AI asks detailed questions about prior blocks, injections, steroid dates, and imaging on intake. Structured summary is ready before the patient arrives.
Instead of spending time asking 'When was your last injection?' and 'Which facilities have you used?', your physician has a complete procedure history in hand. More time for examination, procedure planning, and patient education.
AI asks thoughtful, detailed questions during intake. Patients appreciate that the clinic 'already knows' their history. Reduces appointment time and improves satisfaction.
When your team submits a prior-auth request, the intake notes include prior failed treatments, imaging results, and medical history. Payers see a well-documented case.
AI captures allergies, prior anesthesia reactions, and medications that might interact with sedation or injected agents. Your clinician spots conflicts before the procedure room.
Procedure history captured on intake call
AI asks about prior injections, blocks, imaging, and outcomes without staff prompting
Structured notes ready for clinician review
Intake summary is EMR-ready; staff review and file it into the chart before appointment
Allergies and contraindications flagged
AI identifies anesthesia reactions and medication conflicts that may affect procedure
Imaging history recorded
Prior MRI, CT, and X-ray dates and findings captured from patient recall
No. The AI asks the patient to recall their procedure history, imaging, and outcomes. Answers are captured and returned as a structured summary for your staff to verify against the chart and imaging archive. The AI does not connect to your PACS or medical records directly.
The AI asks follow-up clarifying questions: 'Which facility did you go to?' 'Was it last summer or this spring?' 'Do you remember the doctor's name?' The structured notes flag incomplete fields so your staff can call back or look up records before the appointment.
The AI captures the patient's full medication list (including over-the-counter and supplements). Your clinical staff reviews the list and your EMR flags interactions. The AI does not perform clinical decision-making.
When your prior-auth team prepares a request, they have complete intake notes with prior failed treatments, imaging results, and medical history. Payer reviewers see a fully documented case, which can reduce denials.
Intake notes are returned as a structured, EMR-pasteable summary. Your staff reviews and confirms the information, then files it to the chart. Nothing is auto-populated without clinical review.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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