We build voice AI systems for medical practices, dental groups, and health systems. Every system ships with a signed BAA, full audit logging, and direct EHR integration — not bolted on after the fact.
Case Study — Dental Group, Southern California
$4,800/mo
Answering service eliminated
Human service had a 4-hour SLA on after-hours messages
22%
Holiday calls previously missed
Peak demand, minimum staffing — calls fell through
0%
Calls missed after deployment
AI handles 100% of calls, 24/7, including holidays
A 6-location dental group in Southern California was spending $4,800/month on a third-party answering service that missed 22% of calls during holidays and weekends — the exact times when dental emergencies peak. We replaced it with a Retell AI voice agent integrated with Dentrix for scheduling and DrChrono for patient records. The agent now handles after-hours calls, emergency triage, and appointment requests. The group saved $57,600 in year one and captured 340 calls that would previously have been missed.
What we build
AI voice agents collect demographics, insurance details, chief complaint, and consent before the patient ever reaches the front desk. Insurance eligibility is verified in real time against your payer mix. Staff arrive at check-in with a complete chart, not a clipboard.
Epic, Cerner, Athena, DrChrono integration — data written directly to the EHR, no manual transcription.
40% reduction in check-in time
24/7 scheduling via phone — patients call at 11 PM and book the next available slot without leaving voicemail. The agent reads live availability from your scheduling system, handles rescheduling, and confirms via SMS. No-show rates drop because the agent reminds proactively.
Integrates with Kareo, SimplePractice, Athena, Epic scheduling modules, and Zocdoc API.
30–40% reduction in no-show rate
Your phone shouldn't go unanswered after 5 PM. The AI agent handles non-urgent calls (prescription refill requests, appointment inquiries, directions), triages urgent calls to the on-call line, and creates a task in your EHR for every interaction — so nothing falls through.
Configurable escalation paths by symptom keyword, time of day, and patient history.
100% call capture. No voicemail black holes.
Patients call, the agent confirms identity via date of birth and last 4 of SSN, reads back the prescription name and pharmacy on file, and creates a refill task routed to the prescribing physician — without a single staff member involved.
Task created in EHR with full call transcript and audio for physician review. Controlled substances flagged and routed to human review automatically.
Average 4 minutes of staff time per refill → 45 seconds
Healthcare is not monolingual. The agent detects the caller's language automatically and switches without prompting — currently supporting 28 languages including Spanish, Mandarin, Vietnamese, Tagalog, and Portuguese. No interpreter line, no hold music.
Language detection via first 10 seconds of speech. Escalation to human interpreter for clinical conversations outside the agent's configured scope.
28 languages supported out of the box
Outbound calls 24 hours after discharge to check on patient recovery, surface early warning symptoms, confirm medication adherence, and schedule follow-up appointments. Outcomes flagged as concerning are immediately routed to the care team — not lost in a batch report.
Integrates with discharge workflows in Epic and Cerner. Call records attached to the patient encounter automatically.
3× more patients reached vs. staff-led follow-up
EHR integrations
Every interaction writes structured data directly to your EHR. No manual transcription, no copy-paste, no shadow records sitting outside your system of record.
| EHR System | Best For | Integration Method |
|---|---|---|
| Epic | Enterprise hospital system | FHIR R4 API |
| Cerner / Oracle Health | Enterprise hospital system | FHIR R4 API |
| Athenahealth | Ambulatory & specialty | Athena REST API |
| DrChrono | Mobile-first EHR | DrChrono API |
| Kareo / Tebra | Small practice | Kareo REST API |
| SimplePractice | Mental health / behavioral | SimplePractice API |
HIPAA compliance
HIPAA compliance is built into the system design, not applied as a veneer at the end. Here is how every healthcare voice AI we build handles PHI.
Business Associate Agreement is executed with all voice AI platform vendors (Retell AI for regulated use cases, or custom-hosted LiveKit) before a single byte of protected health information touches the system.
Call transcripts containing PHI are stored in your infrastructure (or a HIPAA-eligible cloud region you control). Transcripts never sit in a shared SaaS database. Audio recordings are encrypted at rest (AES-256) and in transit (TLS 1.3).
The agent is configured to collect only the data required for the specific use case. A scheduling agent has no access to clinical notes. A refill agent sees medication list only. Scoped access, enforced at the prompt and integration level.
Every call generates an immutable log: caller identity verification result, agent actions taken, data accessed, data written to EHR, escalation decision. Logs are retained for 6 years per HIPAA requirements.
We use zero-data-retention API agreements with all LLM providers (OpenAI, Anthropic). Your patient data is never used to train foundation models. Model API keys are configured with ZDR confirmed in writing.
The #1 concern we hear
This is a real risk, and we take it seriously. Here is how we prevent it: the agent is scoped to administrative tasks only — scheduling, intake, triage routing, and reminders. It does not give diagnoses. It does not give medication dosages. It does not interpret lab results.
Any question that touches clinical advice triggers an immediate escalation response: "That is a question for your care team — let me connect you or take a message for the nurse." The escalation phrases are hard-coded into the system prompt and tested before go-live.
We also configure the LLM with a conservative temperature (near 0) for clinical triage paths, meaning it follows the script rather than generating novel responses. The system prompt explicitly states the agent's role and prohibits out-of-scope responses — and we red-team it before deployment to make sure it holds.
The short answer: the AI doesn't give medical advice because we design it not to, verify that it doesn't, and give it an exit path when it's asked to.
30-minute call. We scope the use case, confirm EHR integration feasibility, and give you a fixed price. Most healthcare PoCs deploy in 2–3 weeks.