Technical
Unstructured patient speech doesn't automatically appear in EMR fields. Learn how AI intake is structured into discrete data points (allergies, meds, chief complaint) and formatted for your staff to review and file into the patient record.
Structured summary is EMR-formatted, ready to paste into intake note or routed directly to your EHR system.
Data captured once on the call and structured once; staff place it in the chart, not retype it.
Medication list, allergy list, and chief complaint all formatted identically, reducing data-entry variation and errors.
Every AI-captured intake is timestamped and retrievable; staff review is logged for compliance.
Structured clinical summary
Allergies, medications, chief complaint, medical history—formatted for staff review and EMR placement
Direct demographic writes
Name, date of birth, phone, address write directly to patient record where integrations enabled
Discrete data extraction
Allergy list, medication list with dosages, and presenting problem parsed from natural speech
Named EMR integrations
athenahealth, eClinicalWorks, Epic, Elation, Cerbo, Hint, Tebra, AdvancedMD, ModMed
Partially. Appointment bookings, new patient creation, and demographics (name, DOB, phone) write directly where integrations exist. Clinical data (allergies, medications, chief complaint, medical history) is returned as a structured, pasteable summary for your staff to review and file.
The AI listens for key entities during the call: medication names and dosages, allergy allergens and reactions, symptom onset dates, etc. These are extracted and reformatted into lists and sections (e.g., 'Medications: Metformin 500 mg daily, Lisinopril 10 mg daily'). Staff review for accuracy before filing.
The summary is formatted as a clean clinical note that works across EMRs. Your staff pastes it into your EMR's intake section, or it can be imported via HL7 or direct API where your EMR supports it. Formatting is customizable per your EMR's requirements.
The summary is labeled with clear sections (Allergies, Medications, Chief Complaint, Past Medical History, etc.). Staff are trained to review the content, verify accuracy, and file it into the appropriate EMR intake form or clinical note. It arrives ready to place, not to decode.
Insurance details (card photos, eligibility, authorization info) are captured on the call and collected via secure document upload, but are not auto-synced to the EMR. Your staff process and file those separately. Similarly, clinical questionnaire answers and prior authorization details are returned as summaries for staff review, not auto-populated.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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