Why most healthcare chatbots fail HIPAA in practice
Most chatbot vendors will tell you they're "HIPAA-friendly." Then you read the architecture and discover every patient message is shipped to a hosted LLM API with no signed BAA covering the AI provider. That's not HIPAA-compliant — that's a disclosure waiting to be audited.
MyTechGenie is designed around the opposite assumption: patient data should never leave your walls. The AI model runs inside your own AWS environment. PHI is scrubbed before any external service touches it. The platform routes patient identifiers only through BAA-covered paths, with disclosure accounting under HIPAA §164.528.
How it works in a medical practice
After-hours patient intake
Capture symptoms, contact info, and urgency without an after-hours human. Genie escalates anything clinical to a person.
Appointment scheduling
Two-way calendar sync, conflict checking, and automatic reminders. Patients reschedule without picking up the phone.
Prescription & refill triage
Routes refill requests to the right staff member with patient verification and call-back scheduling.
Live-agent escalation
When a patient needs a clinician, your team joins the chat with the full thread. No repeating themselves.
Built for compliance officers
Every feature was designed with the question "can we defend this in an audit?" If the answer was no, we redesigned it. The result:
- Signed BAA available before you load patient data
- Field-level AES-256 encryption at rest and in transit
- Strict tenant isolation by
client_id— no cross-practice data leakage - Full audit logging on every PHI access and disclosure
- Right-to-access and right-to-erasure built into the admin tools
- Breach-notification tracking under HIPAA §164.404
For a deeper architectural walkthrough, see our HIPAA chatbot architecture page.
Who it's for
- Primary care and family medicine practices
- Dental practices and orthodontists
- Eyecare practices and optometrists
- Mental health and behavioral health groups
- Specialty clinics (dermatology, cardiology, OB/GYN)
- Telehealth providers and concierge medicine
Frequently asked questions
Do you sign a Business Associate Agreement (BAA)?
Yes. We sign a BAA before any patient data flows through the platform. The BAA covers all components of the deployment, including the AI model running in your AWS environment.
Where does our patient data actually go?
Patient data stays inside your AWS environment. The AI model is an open-source model running on your infrastructure. PHI never goes to OpenAI, Anthropic, or any third-party LLM API. We can see operational metadata (uptime, error rates) but not conversation content.
What happens if a patient describes a medical emergency?
Genie is trained to recognize emergency language (chest pain, suicidal ideation, severe bleeding) and immediately surface a clear instruction to call 911 or go to the nearest emergency department, while simultaneously notifying your on-call team.
Can patients schedule appointments through the chatbot?
Yes. Genie syncs with Google Calendar and Outlook two-way, checks for provider availability and conflicts, books the appointment, and sends confirmation and reminder messages.
How long does it take to deploy at a practice?
Production-ready in about a week for most single-location practices, including knowledge base loading, calendar integration, and staff training. Multi-location and EHR-integrated deployments take longer.
How is this priced?
Founding Customer pricing is $249/month after the 90-day pilot. Larger and multi-location deployments are scoped separately. No per-message fees.
See it running on your own data.
A 20-minute demo on your real workflows — including the private, in-your-cloud deployment.
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