EMR Workflow
AI captures intake data during the phone call. Some information writes directly to your EMR (appointments, demographics). Other information—medical history, allergies, symptoms—is returned as a structured summary for your staff to review and file. Learn the exact workflow.
When the AI books the appointment, the new patient record (name, date of birth, phone, appointment time) writes directly to your EMR. Your schedulers don't manually create the patient in the system. Dups and typos drop dramatically. The patient exists in your chart the moment the call ends.
The AI listens to the entire call and extracts the key clinical details into a structured format: 'Chief Complaint: Right knee pain for 3 weeks. Severity: 7/10. Onset: after jogging. Tried: ice and ibuprofen, helped briefly.' Your clinician reads this 30-second summary, not a 5-minute transcript, and decides what to document.
The AI never writes directly to the medical record. It gathers information and organizes it. Your clinician reviews it and decides what's clinically relevant, what needs elaboration, what belongs in the chart. This protects your legal and clinical integrity.
Insurance details are captured during intake. Your billing team gets the structured summary (plan name, member ID, group number). They verify it separately and file it in your billing system or EMR's insurance tab. Clinical staff focus on the medical history, not insurance codes.
Appointment and demographics write directly to EMR
New patient records created in real time, no manual data entry
Clinical summary returned for staff review
Structured format, ready for clinician verification and import
No clinical documentation auto-authored
Clinicians retain full control over what enters the medical record
EMR-independent summaries
Portable across platforms; switch EMRs and keep your AI intake workflow
The AI captures reported allergies and returns them in the intake summary. Your staff reviews the information, verifies it's accurate, and enters it into your EMR's allergy section. This gives your team a chance to catch mistakes or clarify severity before the allergy is in the official record.
No. The AI captures medication information on the call (name, dose, frequency, who prescribed it). This comes back as a summary for your staff to review. Your clinical team enters verified medications into the official medication list.
Your staff reviews the summary before filing it. If something is wrong, they correct it in the summary or make a note for follow-up. The patient is not yet in your official chart with bad data. Your staff is the final quality gate.
The AI captures the caller's reason for the visit and returns it as structured text in the summary. Your clinician reads it and decides how to document the chief complaint in the EMR, following your practice's documentation standards.
The intake summary is a starting point. Your staff can review it and flag items for verification. You can call the patient back before the visit, ask clarifying questions, and update the summary. The summary is editable and collaborative.
Training is minimal. Staff learn where to find the summary (in the EMR or MedReception portal), how to scan it for completeness, and how to import it into the patient record. It's faster than reading a form or listening to a voicemail.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
