Workflow

Capture Medication Lists, Pain Scores, and Comorbidities Before the Consultation

Interventional pain patients often have complex medication regimens, multiple comorbidities, and detailed pain histories. MedReception's AI captures structured intake during the call—medications, allergies, prior procedures, pain location and severity—and returns it as a summary for clinical staff to review and file.

Structured capture of current medications, dosages, and recent changes before the consultation
Pain scoring, location, duration, and functional impact documented in consistent format
Comorbidity and contraindication screening (renal function, anticoagulation, bleeding risk)
Prior procedure history and response to previous interventions
Allergy and adverse reaction documentation with specificity
Returned as a pasteable, EMR-ready summary that clinicians review before the visit

How it pays back

Consultations Start with Complete, Accurate Medical History

Providers no longer spend consultation time gathering medication lists or asking 'Have you ever had this procedure before?' The AI captures this upfront, giving clinicians time back per patient to focus on procedure planning, imaging review, and informed consent.

Pain Scores and Functional Impact Are Quantified Consistently

Patients often describe pain subjectively. MedReception captures pain severity on a standardized scale, functional limitations, and impact on daily activities in a format that supports outcome tracking and clinical decision-making.

Medication Interactions and Contraindications Flagged Early

The AI captures current medications and chronic conditions, allowing clinicians to pre-identify potential interactions (anticoagulants, NSAIDs, corticosteroids) or contraindications before the patient arrives. This reduces procedural risk and improves safety planning.

No Data Loss Between Phone Call and Chart

Phone intake is structured and comprehensive—nothing is dropped or forgotten. Staff receive a complete, organized summary ready to file, reducing transcription errors and ensuring clinical completeness.

Insurance Eligibility and Prior Authorization Supported by Clinical Data

Insurance companies often need clinical justification for approval. MedReception's structured intake provides the clinical narrative needed to support authorization requests, speeding approval and reducing denials.

Structured intake captured

Medications, allergies, pain score, comorbidities, prior procedures

EMR-pasteable summary

Staff review and file—clinician retains control of chart entry

Consistent documentation format

Standardized intake improves outcome tracking and clinical communication

Prior authorization support

Clinical narrative ready for insurance justification

Frequently asked questions

Does the AI write clinical data directly into the patient chart?

No. The AI captures structured intake and returns it as a summary for your clinical staff to review and file into the EMR. This preserves clinical oversight—your physicians always review and approve what goes into the patient record. Appointment bookings and patient demographics (name, date of birth, phone) are synced directly to the EMR; clinical history, medications, allergies, and medical details are captured during the call and returned as a structured summary for staff review and manual entry.

How does the AI handle patients with long medication lists?

The AI asks patients to list their current medications and captures each one with dosage, frequency, and any recent changes. For patients with many medications, the AI can reference a medication list from the patient's previous visit or ask them to read from a pharmacy printout. The summary is returned in an organized, scannable format.

Can the AI assess medication interactions or contraindications?

The AI captures medications and chronic conditions in a structured format that your clinical staff can quickly review for interactions and contraindications. The AI does not interpret or flag interactions—that remains the provider's responsibility. However, the organized data enables faster clinical review.

What happens if a patient's pain history is complex or detailed?

The AI is trained to listen actively, ask clarifying questions, and organize pain history chronologically and by body region. The summary captures onset, duration, character, severity, prior treatments, and functional impact in a narrative format that clinicians find useful and complete.

How does this intake process speed up the consultation?

By capturing medical history, medications, allergies, and pain details during the phone call, the provider begins the face-to-face visit with complete context. The provider can focus on physical examination, imaging review, procedure planning, and informed consent—activities that require human expertise—rather than history-taking.