Clinical Workflow
The AI gathers patient information during intake calls and returns a formatted summary that your staff reviews and files into the patient's Kareo chart—maintaining your team's control over clinical documentation.
Instead of listening to a call recording or reading raw notes, your clinical team opens a structured summary: 'Chief complaint: Migraine for 2 days. Current meds: ibuprofen, sertraline. Allergies: penicillin.' Ready to review, verify, and file.
The intake summary is delivered to your team immediately. Your staff doesn't have to manually transcribe or search for call details—everything is pre-organized and flagged for review.
The AI summary is not auto-populated into clinical fields. Your staff reads it, confirms accuracy, and decides how to document it in Kareo. This protects your chart from AI errors and maintains your compliance standards.
By the time the patient arrives, your clinical team has already reviewed the intake. The provider opens the chart and sees context—no repeat intake during the visit.
Intake structured for review
Plain-language summary, not call transcript
Delivered to your team instantly
Staff is notified and can review immediately
Staff controls chart entry
Clinical data is captured as a summary for staff review and filing
Chart ready at appointment time
Patient context reviewed before first visit
The AI asks for: reason for visit, symptom duration, current symptoms, current medications, known allergies, relevant medical history, and insurance information. The depth depends on your practice type and the nature of the call. Your team can customize which fields are required.
The summary appears as a structured note for your staff with sections for chief complaint, symptom review, current medications, allergies, and medical history. Your staff can copy it to a clinical note field, a patient message, or a separate intake document. Kareo's workflows determine how it's filed.
Your staff reviews the summary before filing it. If there's an error or gap, you can edit it, call the patient back, or leave it as-is and note the discrepancy in your own clinical note. The summary is a starting point, not a final diagnosis.
No. The summary reports what the caller said, not what the AI thinks it means. For example: 'Patient reports sharp pain in right chest area when breathing' not 'Patient may have pleurisy.' Clinical interpretation is your provider's job.
Yes. Intake summaries are flagged for your team. You can filter for 'pending review' summaries or set up reminders so nothing is missed between call and appointment.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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