A HIPAA-ready voice AI that books appointments straight into the EHR and cut front-desk call load by 70%.
01 · The Challenge
Our client, a multi-location healthcare provider, was missing revenue every day the phone rang. Reception handled scheduling, refills, insurance questions, and directions, all on the same line. Patients waited on hold, staff burned out, and after 5 PM every call went to voicemail.
Monday mornings meant 20-minute hold times. Many patients simply hung up and called a competitor.
Booking, rescheduling, refill requests, and opening hours, questions that don't need a human but were consuming staff all day.
Evenings and weekends went to voicemail, and most callers never left a message. Off-the-shelf IVR menus had already been tried, and patients hated them.
Answer every call instantly, in a natural voice. Book real appointments into the EHR. Never touch patient data outside HIPAA boundaries. Escalate to a human the moment it matters.
02 · The Solution
We designed and trained a conversational voice AI on the clinic's real call recordings, then wired it into the systems where the work actually happens.
Patients speak normally, interrupt, change their mind mid-sentence. The agent follows, powered by streaming speech recognition and an LLM tuned on real clinic dialogues.
Live calendar lookups, provider matching, insurance capture, and instant SMS confirmations, written directly to the scheduling system through an HL7 FHIR integration.
PHI never leaves the compliant boundary: BAA-covered infrastructure, encrypted transcripts, audit logging on every data access, and automatic redaction in analytics.
Clinical questions, distressed callers, or anything ambiguous escalates to staff with a live transcript, so the patient never repeats themselves.
Every call is searchable: intent, outcome, duration, sentiment. Practice managers see exactly what patients ask for and where the agent hands off.
The same agent calls patients for appointment reminders and annual recalls, reducing no-shows and refilling empty calendar slots automatically.
03 · How It Works
No hold music, no menu tree. The agent picks up on the first ring, day or night.
Streaming speech-to-text plus an LLM classifies what the caller needs in real time.
Identity confirmed against the EHR with HIPAA-compliant checks before any PHI is discussed.
Appointment booked, refill routed, or question answered, written to the live systems, not a notepad.
SMS confirmation to the patient, full transcript and outcome logged for the practice team.
Your Practice Next
Book a demo call, and yes, the AI will answer it. Pilot on your real calls in 4 weeks, fixed-price USD proposal within 48 hours.
Admin Dashboard
A web dashboard lets hospital staff manage the agent's knowledge base without calling us. Update visiting hours, add a new provider, change insurance policies, and the agent answers with the new information on the very next call.
Integrations
Every booking, refill, and update lands in the systems the hospital already runs.
Scheduling and patient records via HL7 FHIR: Epic, Cerner, Athenahealth
Billing, departments, resource planning, with custom connectors included
Refill requests routed to the right queue automatically
Your existing hospital numbers via SIP trunking or Twilio
Instant confirmations, reminders, and follow-up links
Escalations open a ticket with the full call transcript attached
04 · The Build
We shipped in phases, with the client's front-desk team listening to test calls every week. Their corrections became training data, and by launch the agent already sounded like the practice.
Start Your AI ProjectWe analyzed recorded call flows, mapped every intent, and defined the escalation rules with clinical staff, before writing a line of code.
Streaming telephony, sub-2-second turn latency, interruption handling, and a persona script the client's team co-wrote and approved.
FHIR scheduling writes, identity verification, BAA-covered infrastructure, encryption, and audit logging on every PHI access. Passed the client's security review first pass.
The agent first ran in shadow mode alongside staff, then took after-hours calls, then the main line. Weekly transcript reviews tuned it before full rollout across all locations.
Tech Stack
Every layer chosen for sub-2-second latency and HIPAA-grade data handling.
05 · The Results
Measured across all locations, comparing the quarter before launch with the quarter after.
Our front desk finally does front-desk work. Patients tell us the "new receptionist" is lovely, most never realize they spoke to an AI.
FAQ
Yes. It runs on BAA-covered infrastructure (AWS HIPAA-eligible services), encrypts all transcripts at rest and in transit, verifies patient identity before discussing any PHI, logs every data access for audit, and redacts PHI from analytics.
It transfers to your staff with a live transcript, so the patient never repeats themselves. Clinical questions, distressed callers, and anything ambiguous escalate automatically based on rules your team controls from the dashboard.
Yes. We integrate via HL7 FHIR with Epic, Cerner, Athenahealth, and similar systems, and build custom connectors for proprietary hospital ERPs, covering scheduling, patient lookup, billing queries, and pharmacy refill routing.
From the admin dashboard. Staff edit the knowledge base, visiting hours, insurance plans, and provider schedules, and changes go live on the next call. No retraining cycle, no developer needed.
This project went live in 12 weeks. A typical deployment runs 8 to 14 weeks depending on integrations: 2 weeks of discovery on your real calls, core agent build, EHR and ERP integration, then a shadow-mode pilot before full rollout.
No, it removes the repetitive 60 to 70 percent of calls so your team handles the conversations that actually need a human. In this project, staff moved from answering phones to managing exceptions and in-person patients.
Share your call volume and systems, and we'll come back within 24 hours with an approach and a fixed-price estimate.
