Custom AI Medical Voice Receptionists with Live EHR Integration..

It is built to support your HIPAA compliance, which rests on contracts and controls rather than a label. Every healthcare AI agent we build operates under a direct Business Associate Agreement (BAA). That is a HIPAA contract that makes us legally responsible for the data we touch. Voice audio and patient transcripts are encrypted in transit with TLS 1.3. Protected health information (PHI) is encrypted at rest with AES-256. We run zero data retention on every speech-to-text and LLM endpoint. Patient data is never cached, and never used to train a public model.

Our healthcare voice agents run rule-based clinical safety guardrails on every call. A red-flag symptom, severe chest pain, shortness of breath, stroke signs, severe trauma, gets recognized right away. The AI tells the caller to hang up and dial 911. It keeps listening and starts a warm transfer to the on-call physician or emergency triage line.

Yes. FactoryJet signs a formal BAA with every healthcare client before we connect any telephony, server, or EHR endpoint. We also confirm that our cloud host, telephony gateway, and LLM provider all carry binding BAAs of their own. The signed BAA comes first in onboarding, not later. No patient audio or PHI reaches our infrastructure until your compliance officer has a countersigned copy.

Patient data stays inside a dedicated, single-tenant Virtual Private Cloud (VPC). We host it on AWS or Google Cloud, in a US healthcare-compliant data region. During the call, audio is processed in memory only. It gets written straight to your authorized EHR through encrypted FHIR R4 APIs. There is no extra storage step in between.

Both. FactoryJet signs a direct BAA with your practice as the covered entity. We also hold signed BAAs with every downstream subprocessor that touches call audio or patient data. That list is short: our cloud host, telephony carrier, and speech-to-text vendor. It covers the chain of custody end to end, not just at the first hop.

Under our standard zero-retention setup, raw audio is not stored after the call ends. Only the structured appointment or message data gets written to your EHR. Your clinic may want call recordings kept for QA or compliance. We configure encrypted, access-logged storage inside your own BAA-covered cloud. It is never a third-party archive outside your control.

No AI product is HIPAA compliant on its label alone. HIPAA rules apply to health plans, clearinghouses, providers that handle standard transactions electronically, and the business associates that work with patient data for them. So ask whether the vendor will sign a business associate agreement covering the exact product and plan you would use. If it will not, keep patient information out of that tool.

We build custom, two-way API connectors for the leading healthcare and dental systems. That list covers Epic Systems, Cerner (Oracle Health), AthenaHealth, eClinicalWorks, Allscripts (Veradigm), NextGen Healthcare, Kareo, Dentrix, Eaglesoft, Open Dental, Curve Dental, and ChiroTouch. Running something else? We still scope a custom connector against its published API. For smaller vendors without one, we work from its scheduled export and import files instead.

Yes. Instead of a static appointment request form, our AI agent reads live data straight from your EHR API. That includes provider scheduling templates, operatory availability, visit-duration rules, and chair buffers. It books the visit, collects patient demographics, and updates the practice calendar in under two seconds.

The AI agent collects the patient's insurance carrier name, member ID, group number, and date of birth by voice. It sends an automated 270/271 EDI eligibility check to your clearinghouse. Examples include Change Healthcare, Waystar, or Availity. Active coverage and copay get confirmed before the appointment is finalized.

Yes. For routine refill inquiries, the AI gathers the medication name, dosage, preferred pharmacy details, and prescribing doctor. It formats the request as a structured clinical inbox message inside your EHR. If that is not available, it routes the request to your triage nurse team through secure clinical messaging instead.

For Epic clients, we build against Epic App Orchard FHIR APIs where they are available. That covers scheduling, patient lookup, and encounter notes for most ambulatory builds. Hospital systems on an older Epic version. This happens without App Orchard access, are different. There, we work with your Epic analyst team through your existing integration engine.

Through the AthenaHealth Marketplace API, the agent reads live provider open slots, appointment types, and patient demographics. It writes new appointments, updates existing bookings, and logs call summaries as structured notes. It never touches clinical documentation, orders, or billing codes.

Yes. Dental scheduling has its own rules that general medical scheduling does not. It checks operatory availability across separate hygienist and doctor columns. It respects procedure-specific time blocks and same-day emergency slots. We configure the agent against your Dentrix, Eaglesoft, or Open Dental appointment book. Those rules come built in, not a generic calendar grid.

It can take the paperwork side: gathering the documents a payer asks for, tracking the request, and flagging a response that is running late. Clinical staff still write the medical justification. The process is moving to software as well. Under CMS rule CMS-0057-F, impacted payers had to implement certain provisions by January 1, 2026, with most API requirements due by January 1, 2027.

We run a sub-500-millisecond voice pipeline: dedicated SIP trunking, Deepgram Nova-2 medical speech recognition, and natural-sounding voice synthesis. The AI understands medical terms, handles interruptions and background noise, and keeps a natural conversational pace with no robotic pauses. Many patients finish a call without realizing it was automated, though we always say so if a caller asks directly.

Yes. Our healthcare voice agents dynamically detect whether a caller is speaking English or Spanish within the first three words. The agent responds immediately in fluent Spanish. It captures symptoms and scheduling preferences accurately. Then it logs English-translated clinical notes inside the EHR.

The AI agent never guesses at a diagnosis. When a caller asks a complex clinical question, the AI explains its role clearly. It shares general practice policy and routes the call to clinical staff. Then it either transfers the call to a triage nurse or takes a detailed callback message.

We run neural noise cancellation at the telephony layer. Speech recognition is tuned for regional accents, slower speech, and how elderly patients phrase things. When something is unclear, the AI gently asks the caller to confirm the detail before it logs anything.

A standard healthcare AI deployment takes four to six weeks, from scoping to live pilot. That covers telephony routing, EHR API authentication, clinical prompt tuning, staff escalation workflows, and HIPAA penetration testing. EHR API authentication is usually the slowest step. Larger vendors like Epic require formal credentialing and sandbox approval. We cannot speed that part up, even when our own build work is ready first.

Private practices typically pay back the full cost within 60 to 90 days. The agent captures every after-hours call and stops patient scheduling drop-off. It also replaces outsourced answering-service fees, which usually run $1,200 to $3,500 a month. Most of the recovered revenue comes from calls that would otherwise go to voicemail.

Yes. FactoryJet builds custom AI infrastructure that you own and run. Every workflow state machine, telephony routing script, API connector, and prompt stays your permanent asset, with no vendor lock-in. Ownership transfers at delivery, not after some minimum term expires. A practice that wants to bring the system in-house, or switch vendors, gets the full codebase handed over right away.

We provide an operational dashboard with real-time call volume and booking rates. It also displays average handle times, triage escalation logs, and audio quality metrics. Practice managers review de-identified call summaries and adjust scheduling rules any time. Dashboard access runs on role-based access control (RBAC) and supports single sign-on (SSO). A front-desk supervisor sees operational call metrics. Only compliance officers can access audio files or PHI transcripts for audited calls.

Both sides carry duties. Your practice stays accountable for patient care and for its own HIPAA compliance. A vendor acting as a business associate must follow its agreement and the HIPAA rules that apply to business associates. Good design limits what a mistake can do: hard limits on what the agent can touch, clinical questions sent to your staff, and a log of every action. This is not legal advice.

It changes their day more than it removes them. The agent takes after-hours calls, routine booking, and the questions staff answer many times a day. Your team keeps the conversations that need a person, such as an upset patient, a billing dispute, or a complicated insurance problem. Staff also review what the agent escalates, so their time shifts toward the harder cases.

Four stand out. The agent gives a confident but wrong answer. Patient data reaches a tool that has no business associate agreement. The agent drifts away from the process your staff think it follows. And nobody reads the logs, so problems go unnoticed. Each one has a matching safeguard: answers grounded in your own rules, a signed agreement at every step, regular testing, and a named person who reviews escalations.

Cost mostly depends on three things: how many calls your practice takes, how many systems the agent has to connect to (your EHR, your insurance clearinghouse, your phone lines), and how much clinical safety logic it needs to run. A single dental office connecting to one system costs far less to build than a hospital network that needs Epic credentialing and multiple languages. Most practices weigh that one-time build cost against what they already pay for an answering service or lose to missed calls, which the return-on-investment question above walks through. Ask any vendor for a scoped quote based on your own call volume and systems, not a flat number that ignores your setup.

There is no single best answer. It depends on your practice size, your EHR system, and your call volume. When evaluating any AI medical receptionist, check five things: does it sign a direct Business Associate Agreement (BAA) with your practice, does it read and write to your actual EHR or dental system in real time, does it run rule-based safety checks for emergency symptoms, do you own the workflow and code or rent it monthly, and can you see a real demo or call log first. A generic customer-service bot handles simple booking fine. A practice handling insurance verification or emergency triage usually needs something built specifically for healthcare, not a generic bot retrofitted for medicine.