Workflow
AI intake collects insurance details, procedure history, and clinical indicators needed for prior auth, then hands structured data to your staff for review and submission—no repeated patient calls.
Patient provides insurance details, member ID, and coverage during intake. No second call to verify coverage. Staff reviews the structured summary and submits prior auth with complete, verified information.
AI returns a structured clinical summary—prior treatments, imaging, conservative care trial, current pain level—ready for staff to review and paste into your prior auth template or submit to the insurance portal. Staff focus on submission, not data collection.
Insurance companies often deny prior auth requests because required fields (prior auth request sequence, imaging evidence, failed treatment trial) are missing. AI intake ensures fields are populated and handed to staff for attachment.
Patients provide information once on the intake call. They don't get called back for insurance details or prior auth clarifications. Faster authorization = faster treatment.
Patient demographics (name, DOB, phone) are written to the EMR. Insurance details and clinical history are captured and returned as a structured summary for staff to verify, review, and attach to the prior auth submission—protecting compliance by keeping unverified data out of the chart until staff confirms it.
Insurance capture on intake
Member ID, group number, coverage verified in first call
Clinical summary for prior auth
Prior treatments, imaging, conservative care trial documented
EMR-ready data handoff
Structured summary for staff review and attachment to prior auth submission
Single patient contact
No repeat calls for insurance verification or clinical clarification
The AI asks: insurance company name, member ID (primary and secondary), group number, employer name, and whether coverage includes the requested procedure. The patient provides this once; no repeat insurance verification calls needed.
The AI is trained to ask questions that insurance companies typically require: whether prior treatments (physical therapy, oral medications) were tried, imaging results (MRI, X-ray), and current pain trajectory. This helps your staff complete prior auth forms with fewer errors and denials.
The AI captures insurance data and returns it in a structured summary. Your staff reviews it for accuracy, then manually enters or attaches it to the prior auth submission. This protects against compliance risk from incomplete or incorrect data in the chart.
The AI doesn't have real-time access to insurance formularies, but it asks if the patient has been told their procedure requires approval. Staff reviews the plan and uses the AI summary to prepare the submission.
Prior treatments (PT, medication trials), imaging findings, current pain level and functional impact, medication allergies, and comorbidities that might affect procedure eligibility. This data is returned as a structured summary for staff to review and format for prior auth documentation.
Yes. Because clinical and insurance data are captured on the first call, staff can submit prior auth immediately after the intake appointment is confirmed. No delays waiting for callbacks or missing documentation.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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