🇺🇸 AI · Healthcare · USA

AI Receptionist for Healthcare USA

US medical practices lose 25–40% of inbound calls to voicemail. XPndAI builds AI receptionists for medical practices — 24/7 appointment scheduling, insurance eligibility checks, patient intake, and reminder automation. HIPAA-aligned architecture.

Schedule Discovery Call → WhatsApp Now

24/7Appointment booking

0%Calls to voicemail

35%Fewer no-shows

$3K–$8KProject range

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The US medical practice staffing problem AI solves

Medical receptionist turnover is high and wages are rising. Most practices are perpetually short-staffed on phones — especially mornings, Mondays, and post-holiday periods when call volumes spike. XPndAI's AI receptionist fills the gap — answering every call, scheduling appointments with the right provider, and handling routine patient inquiries — without the turnover.

AI Use Cases for US Medical Practices

Primary care, specialist, dental, mental health, and multi-specialty groups

📞

24/7 AI Receptionist

Answers every inbound call — appointment scheduling, office hours, provider availability, prescription refill requests — in a natural AI voice.

24/7 call answering

📅

Appointment Scheduling

Schedules with the right provider based on insurance, specialty need, and availability. Syncs with your EHR or scheduling software in real time.

EHR integration

🔔

Reminder & Recall Automation

Appointment reminders 48h and 2h before via text and call. Recall campaigns for annual physicals, mammograms, and chronic condition follow-ups.

Reduces no-shows 35%

📋

Patient Intake Automation

New patient intake forms sent pre-visit via text link. Insurance card and photo ID collected digitally before arrival — reducing check-in time.

Digital intake

🏥

Insurance Eligibility Check

AI checks insurance eligibility before the appointment — catching lapsed coverage and out-of-network issues before the patient arrives.

Eligibility verification

⭐

Post-Visit Satisfaction & Reviews

After-visit text with satisfaction survey. Satisfied patients directed to Google review. Dissatisfied patients flagged to practice manager immediately.

Reputation management

How XPndAI Delivers

Step 1

Practice Workflow Mapping

We map your scheduling rules, provider specialties, insurance accepted, and current call flow — building AI logic that matches your practice's real operations.

Step 2

EHR Integration

Integrated with your EHR/scheduling software — Athenahealth, Kareo, eClinicalWorks, NextGen, or custom — for live slot availability.

Step 3

HIPAA Architecture Setup

Data handling, encryption, access controls, and BAA-eligible infrastructure configured before any patient data touches the system.

Step 4

Staff Training & Go-Live

Your front desk team trained on the AI's capabilities and limits. Supervised go-live with XPndAI monitoring quality for 30 days.

Investment

Fixed price. USD. HIPAA-aligned. BAA available.

AI Receptionist Basic

$3,000–$5,000

Call answering + scheduling + reminders

Full AI Front Desk

$6,000–$10,000

Receptionist + intake + eligibility + reviews

Multi-Location Group

$15,000–$30,000

Multi-provider + EHR + analytics

Frequently Asked Questions

Is the AI receptionist HIPAA compliant?

Yes. XPndAI implements HIPAA-aligned architecture — BAA-eligible cloud infrastructure, encrypted data at rest and in transit, strict access controls, audit logging, and no patient data used for AI model training. A Business Associate Agreement (BAA) is available.

Can the AI handle prescription refill requests?

The AI captures refill requests — patient name, DOB, medication name, pharmacy — and routes them to your nursing staff for clinical review. It does not approve or process refills independently, preserving the clinical workflow and regulatory compliance.

Which EHR systems does XPndAI integrate with?

XPndAI integrates with Athenahealth, Kareo (Tebra), eClinicalWorks, NextGen, Allscripts, Epic (via API where available), and custom practice management systems. Integration scope is determined during the discovery phase.

How does the AI handle urgent or emergent patient calls?

Urgent call escalation is built in — if a patient describes chest pain, shortness of breath, stroke symptoms, or suicidal ideation, the AI immediately directs them to call 911 or provides your urgent care triage line. These are hard-coded escalation rules, not AI judgment calls.