Workflow
Pain management patients have complex histories—prior surgeries, current medications, comorbidities, and treatment failures. Manual intake forms add call time and create data entry bottlenecks. An AI receptionist captures this detail during the initial call and returns a structured summary for your staff to review and file, so intake processing is streamlined.
Complex intake questions are asked during initial scheduling. Your clinical staff receive a structured summary instead of pages of notes to decode. Chart entry is faster; fewer data-entry errors.
Medications, allergies, and comorbidities are captured during the call. If a contraindication is detected (e.g., warfarin use, iodine allergy, severe renal impairment), your staff are flagged before the patient is confirmed.
Clinical history, comorbidities, and prior treatment failures are documented on the call. When prior auth is filed, your clinical team has all the detail they need to justify medical necessity—no callbacks to gather information.
Comorbidities, medication list, and functional baseline are captured. Your clinical staff can immediately assess procedure risk and decide if clearance, adjustments, or specialist consultation is needed.
Intake summary is returned as structured fields—medications, allergies, comorbidities, prior treatments. Your staff review and file; EMR entry is streamlined and error-free.
Full patient history captured on call
Pain onset, severity, location, prior treatments, and failed interventions documented
Medication and allergy screening complete
Contraindications identified before intake confirmation; risk flagged for clinical review
Structured intake summary delivered
Medications, comorbidities, and functional baseline returned as EMR-ready data
The AI asks about pain onset (acute vs. chronic), location, severity on a scale, what makes it better or worse, prior treatments (physical therapy, medications, injections), failed procedures or interventions, and current functional status (work, daily activities, sleep). All responses are captured and structured.
The AI captures all medications and supplements and checks them against your practice's contraindication protocols. For example, if a patient is on warfarin, the AI flags this for your clinical team to review for bleeding risk. If a patient reports an iodine allergy, this is noted before any contrast-based imaging or procedures.
Your clinical staff receive an alert before the appointment is confirmed. They can review the issue, consult with the provider, and decide whether to proceed, reschedule, or request pre-procedure clearance or medication adjustment.
The AI returns all intake data as a structured summary that your clinical staff review and file into the EMR. Your team retains full control of accuracy and can add or edit any information before saving. Appointment bookings and patient demographics (name, DOB, phone) are created or updated in the EMR; all clinical content is returned as a summary for your staff review.
Yes. The captured pain history, comorbidities, and prior treatment failures provide the clinical detail needed to justify prior authorization. Your billing and clinical teams have the information they need without additional callbacks.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
Want the numbers first? See plans and pricing
