AI Medical Receptionist That Answers and Books Every Call

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Retell AI deploys an AI medical receptionist that answers patient calls, books appointments into your EHR, and triages urgent cases. It runs 24/7 on your existing phone lines, with no new hardware or engineering team required.
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How It Works

Launch your AI medical receptionist in four steps, from connecting your phone line to handling live patient calls.

Configure your agent
Pick a voice, add your scheduling and escalation rules, and connect your knowledge base and intake forms.
Test with simulated calls
Run simulated patient calls to check booking accuracy and emergency routing before you go live.
Connect your phone system
Forward your existing office number to the agent, or get a new number from the platform.
Deploy and monitor performance
Go live, then track booking rates, transfers, and which calls became patients in the dashboard.
Use Cases

Capture missed new-patient calls

New patients rarely leave a voicemail. They call the next practice on the list. The agent answers on the first ring every time and works like your front-desk receptionists to capture the caller and book the visit. Calls that used to go to voicemail become booked appointments.

Cover after-hours and weekends

Calls outside office hours hit voicemail, and most callers never try again. Running 24/7 as an AI answering service, the agent books routine visits and routes urgent cases the same way your front desk would during the day. Your team arrives to booked patients, not a backlog.

Cut no-shows with reminder calls

No-shows cost a slot and the revenue that goes with it. Acting as an AI appointment setter, the agent confirms upcoming visits, handles reschedule requests in the same call, and rebooks cancellations on the spot. Fewer empty slots, and less phone tag for your staff.

Fill the schedule with recall calls

Recall and reactivation lists sit untouched because no one has time to dial them. A batch call campaign reaches lapsed and due patients automatically, offers open slots, and books the ones ready to return. Underused provider hours fill without adding front-desk headcount.

Verify insurance and intake details

Front desks lose minutes per call collecting insurance and intake information. The agent gathers carrier, member ID, reason for visit, and provider preference, then logs it before the appointment. Intake is done before the patient walks in, so check-in moves faster.

Triage and route urgent calls

Not every call can wait for a callback, and not every call needs a clinician. The agent collects the details that matter, then routes urgent cases to on-call staff through a warm call transfer while booking the routine ones. Your team only picks up the calls that need a person.

Compliance

Patient calls carry protected health information on every line.

SOC 2 Type II

Call data runs on SOC 2 Type II certified infrastructure, meeting practice security requirements.

HIPAA

Practices deploy under HIPAA with a self-service BAA portal available from the dashboard.

GDPR

Caller data is processed under GDPR, covering consent and access rights for patients in the EU.

PII Redaction

Personal identifiers are redacted from transcripts automatically, keeping every records audit clean.

Feature

Why medical practices choose Retell AI for patient calls

Build
Deploy
Monitor
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Books appointments by your scheduling rules
Generic schedulers treat your calendar like open space and ignore the rules your front desk actually works by. The agent checks live availability during the call and can book appointments straight into your EHR, respecting provider hours, visit-type durations, and double-booking limits. Patients confirm a slot that fits, so your staff stops untangling scheduling conflicts after the fact.
Answers patient questions accurately
Patients ask the same questions all day. Do you take my insurance, are you accepting new patients, what do I bring, what are your hours. A connected knowledge base pulls those answers from your website and intake documents, so the agent responds correctly without pulling a staff member off the floor. Update a policy once and the next call reflects it, with no retraining.
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Reaches patients on verified outbound lines
Reminder and recall calls only work if patients pick up, and unknown numbers go straight to voicemail. Outbound calls place through verified phone numbers that carriers recognize, so confirmations and recall outreach get answered instead of flagged as spam. More live connections means fewer empty chairs and fewer no-shows your team has to chase.
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Redacts patient data from every transcript
Every patient call carries protected health information, and a stray identifier in a transcript is a compliance problem waiting to surface. PII redaction strips personal identifiers from call records automatically, based on retention settings you control. Your team reviews calls and tracks outcomes without exposing patient data in the logs.
Shows which calls became booked patients
Most practices have no view into what happens on the phone after the front desk picks up. Every call generates a transcript, an outcome, and a booking result, and post call analysis surfaces how many inbound calls turned into scheduled patients. Drill into one location or roll the numbers up across a group, so you see whether calls are converting instead of guessing.
Integrations

Seamless

Integrations with Your
Tech Stack

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Pricing

Cut Costs by 90% with AI phone Agents

Pay as you go

$0 to start.

$0.07–$0.12 per minute – Pay only for what you use.
60 mins of free access.
20 concurrent calls.
10 Free Knowledge Bases.
Get Started
FAQ

Frequently asked questions.

What is an AI medical receptionist and what can it do?

An AI medical receptionist is a voice agent on a conversational ai platform that answers your phone, books appointments in your EHR, verifies insurance, and triages urgent calls 24/7. It handles the routine call volume so your front desk focuses on patients in the office, not the phone.

Can it book directly into Epic, Cerner, athenahealth, or eClinicalWorks?

Yes. It reads live availability and writes confirmed appointments back into your EHR during the call, including Epic, Cerner, athenahealth, and eClinicalWorks. It follows your provider, visit-type, and duration rules, so it books the right slot instead of creating conflicts your staff has to fix later.

Is an AI medical receptionist HIPAA compliant and how is patient data secured?

Compliance depends on the vendor, so confirm it before you buy, because consumer AI tools are not built for this. A platform built for healthcare runs on SOC 2 Type II infrastructure, signs a BAA for HIPAA, and redacts personal identifiers from transcripts. Patient data stays encrypted in transit and at rest.

How does it handle urgent calls without giving medical advice?

It triages by intent and routes, it does not diagnose. The agent identifies an urgent situation from what the caller describes, then transfers to on-call staff with the full conversation context attached so the patient does not start over. You define what counts as urgent in the escalation rules, and the agent stays out of any clinical-advice role.

How much does the Retell AI medical receptionist cost?

Pricing is pay-as-you-go and starts at $0.07 per minute for the voice engine, with no platform fees and $10 in free credit to start. That $0.07 rate is specific to Retell AI, and per-minute pricing varies across vendors. Once you add an LLM and telephony, a realistic all-in rate lands closer to $0.09 to $0.19 per minute depending on your model and voice choices.

Will patients know they are talking to an AI receptionist, and what if they want a person?

The voice sounds natural and responds in under a second, so most patients talk to it the way they would a person. Many practices disclose the AI upfront, and booking rates hold steady either way. Anyone who wants a human can ask, and the call transfers to your team with the context already attached.

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