# Custom AI software for healthcare clinics, from the first phone call to the last claim

URL: https://vrisic.com/industries/healthcare/
Last updated: 2026-09-29

> We build AI into the way your clinic runs: intake that fills your EHR by itself, claims checked before they go out, scheduling that fills cancellations, search over your own policies and a voice agent for the front desk. New software or AI added to the systems you already use, with a clear line between admin and clinical care.

## What does AI for healthcare clinics actually do?

AI for healthcare clinics handles the administrative work around care: answering and booking patient calls, sending reminders and filling cancellations, collecting intake forms, checking insurance eligibility, drafting documentation for clinicians to review and automating billing follow up. Done well, it runs inside your existing EHR or practice management system, stays out of diagnosis and treatment decisions, and is built to the privacy rules of your market, whether that is HIPAA in the US, UK GDPR and NHS standards in the UK, or DHA and DoH rules in the UAE.

| Who it suits | Medical, dental, physiotherapy, dermatology, fertility and multi site clinic groups |
| --- | --- |
| What we build | Voice agents, intake flows, eligibility checks, documentation drafts, billing automation, staff search |
| What it never does | Diagnose, triage clinically or give treatment advice |
| Systems | Epic, athenahealth, eClinicalWorks, Dentrix, Open Dental, Cliniko, Jane and NHS services |
| Privacy basis | HIPAA with BAAs, UK GDPR, NHS DSPT and DTAC, UAE Federal Law No. 2 of 2019 |
| First release | 3 to 6 weeks for a single line receptionist |

On this page

1. Overview
2. Where AI fits
3. What we build
4. Dental practices
5. Buy or build
6. Integrations
7. Process
8. HIPAA
9. US, UK, UAE
10. Pricing
11. Choosing a vendor
12. Related

## Where AI belongs in a clinic, and where it does not

The useful line is simple: AI takes the admin, clinicians keep the judgement.

Most clinics do not have an AI problem. They have a front desk problem. Phones ring during the morning check in rush, a 3 pm hygiene patient cancels at noon and nobody has time to ring the waitlist. Behind the desk, someone retypes intake forms and reworks a denied claim. None of that needs a clinician.

That is where AI for healthcare clinics earns its keep. We build five kinds of system, and a clinic usually starts with one:

- **Voice and messaging agents** that answer, book, confirm and remind, covered in depth on our [voice AI development](https://vrisic.com/services/voice-ai-development/) page.
- **Intake and form automation** that collects, checks and files patient information before the visit.
- **AI search over your documents** , so staff can ask “what is our policy on late cancellations for new patients?” and get the answer with the source, built with our [enterprise RAG and AI search](https://vrisic.com/services/enterprise-rag-ai-search/) approach.
- **Workflow automation** for eligibility, prior authorisations, claim follow up and recall campaigns.
- **Custom platforms** that tie these together for a group with several sites and several systems.

What we will not build is a tool that tells a patient what their symptoms mean. When a caller says “chest pain” or “my child is struggling to breathe”, the agent does not reason about it. It follows your escalation script word for word and gets a human or emergency services on the line. That boundary lives in the prompts, the tools and the test suite.

A useful test

If a trained receptionist could do the task with your written policies and a login to your systems, AI can probably do it. If it needs a clinical licence, it stays with your clinicians.

## Six healthcare AI systems we build for clinics and groups

Each connects to your existing systems and can ship alone or as part of a platform.

1. 01 AI medical receptionist and patient access agent An AI voice agent for healthcare that answers every call in a natural voice, recognises returning patients, books, moves and cancels appointments against live availability, and sends confirmations by text. It offers freed slots to your waitlist and transfers to staff with a written summary. We build it as an [AI agent](https://vrisic.com/services/ai-agent-development/) with narrow, audited tools rather than a script tree. **Best for:** Clinics that miss calls at peak times or after hours Booking against live provider schedules No show reduction through confirm and rebook flows Warm transfer with call summary
2. 02 AI patient intake and digital forms Intake that happens before the visit: demographics, insurance card capture, medical history questions, consents and practice policies, completed by text link or a short guided conversation. The system flags gaps, reads uploaded card images and writes structured fields to your EHR. Staff review only what the AI flags. **Best for:** New patient heavy practices and specialist referrals Insurance card and ID extraction Conditional questions by visit type Signed consents stored against the chart
3. 03 Insurance and eligibility assistant An assistant that runs eligibility checks ahead of appointments through your clearinghouse, reads the response, and tells staff in plain words what is covered, what copay to expect and whether prior authorisation is needed. Patient questions about plans are answered only from your approved list. **Best for:** US practices with a mixed payer book Batch checks for tomorrow’s schedule Authorisation flags before the visit Plain language coverage notes
4. 04 Clinical documentation support Drafting help for clinicians, not decision making. From a dictation or an approved ambient recording, the system drafts a structured note, a referral letter or a patient friendly summary for the clinician to edit and sign. Each line links back to the transcript. **Best for:** Specialists who lose evenings to letters and notes Templates matched to your specialty Source linked drafts Clinician sign off before filing
5. 05 Revenue cycle automation Workflow automation for the billing office: grouping denials by reason code, drafting appeal letters from payer policy and chart facts, and chasing unpaid claims. We build these as [AI workflow automation](https://vrisic.com/services/ai-workflow-automation/) with human approval on anything that goes to a payer. **Best for:** Groups with in house billing teams Denial triage by reason code Appeal letter drafts for review Work queues ranked by value and age
6. 06 Staff knowledge search A private assistant that answers staff questions from your own protocols, payer rules, fee schedules and HR policies, with a link to the exact paragraph. Permissions follow your roles, so front desk staff do not see payroll policy. If you are weighing retrieval against model training, our guide on RAG versus fine tuning explains the trade off. **Best for:** Multi site groups with policy drift between locations Answers cite the source document Role based access Updates when policies change

## What an AI dental receptionist needs to get right

An AI dental receptionist sounds like a medical one, but the calls differ. Dental practices live on hygiene recall, treatment plan follow up and insurance questions, and much of the revenue sits with overdue patients rather than new callers.

So we design dental agents around the practice management system first. With Open Dental’s API or the Dentrix API Exchange, the agent can see recall due dates, appointment lengths by procedure and provider chair time, and book a 60 minute hygiene visit into a slot that actually fits.

If you are comparing ready made products first, our guide to the best AI receptionists for dental practices is a fair place to start. A custom build makes sense for several locations or unusual scheduling rules.

### Dental specific flows we build

- Hygiene recall outreach by text and voice
- Unscheduled treatment plan follow up
- Emergency and pain triage to your same day rules
- Insurance plan questions from your approved list
- New patient intake with card capture before the visit

## AI medical receptionist options: product, answering service or custom build

Each option wins somewhere. The right choice depends on volume, integrations and how much your rules differ from the default.

|  | Off the shelf AI receptionist | Human answering service | Custom build with Vrisic |
| --- | --- | --- | --- |
| Time to first call | Days | Days | 3 to 6 weeks |
| Upfront cost | Low or none | Low | Fixed project fee |
| Books into your EHR or PMS | Only listed integrations | No | Yes |
| Your own escalation rules | Within product settings | Yes | Yes |
| Handles intake, eligibility and billing too | No | No | Yes |
| You own the code and data flow | No | No | Yes |
| Best fit | Single site, standard systems | Low volume, high empathy calls | Groups, unusual rules, several systems |

For a longer comparison of staffing options, read AI receptionist vs answering service, and for product price points see our AI receptionist cost guide.

## Integrations with the EHR, PMS and phone systems clinics use

We connect through official APIs and partner programmes, and we confirm access with the vendor before we quote.

### US EHR and practice management

Epic on FHIR, athenahealth APIs, eClinicalWorks FHIR, HL7 v2 feeds, X12 270 and 271 eligibility

Epic write access depends on the health system’s approval.

### Dental systems

Open Dental API, Dentrix API Exchange, Dentrix Ascend API Exchange

Run by Henry Schein One for approved vendors.

### Allied health and private clinics

Cliniko API, Jane partner integrations, Google and Microsoft calendars

Jane works through its integrations programme, so scope is agreed with Jane first.

### NHS and UK services

GP Connect, NHS login, Personal Demographics Service FHIR API, EMIS and SystmOne partner routes

NHS APIs require onboarding and assurance through NHS England before live use.

### UAE health platforms

NABIDH in Dubai, Malaffi in Abu Dhabi, Local HIS and EMR systems

Connections to NABIDH and Malaffi go through your licensed facility, not directly from a vendor.

### Voice, models and hosting

Twilio, Deepgram, ElevenLabs, Azure OpenAI, AWS Bedrock, Claude by Anthropic, Langfuse

We use services covered by a BAA for US patient data and UAE regions for UAE data.

## How a clinic AI project runs, from call audit to go live

Short phases, one fixed price, and nothing talks to a patient until your team signs off scripts and escalation tests.

1. 01 Call and workflow audit 1 to 2 weeks We review a sample of recorded calls with your permission and map what patients ask for and where calls drop. We confirm API access with your EHR or PMS vendor. **You get:** Call reason breakdown, Integration access plan, Fixed price proposal
2. 02 Data flow and compliance design 1 week We draw exactly where patient data goes, which vendors touch it and under which agreement. For US clinics that means BAAs; for UK clinics a DPIA and DTAC evidence; for UAE clinics local hosting and your regulator’s requirements. **You get:** Data flow diagram, Vendor and BAA list, DPIA inputs
3. 03 Build and integrate 2 to 6 weeks We build the agent and integration against a sandbox or test practice and write call flows in your practice’s voice. Your team approves every script. **You get:** Working agent in test, Approved scripts, Integration tests
4. 04 Red flag and quality testing 1 to 2 weeks We run hundreds of scripted test calls, including symptom phrases, angry callers, accents and wrong numbers, and score every one. The agent must escalate every red flag before launch. **You get:** Test report, Escalation pass record
5. 05 Staged go live 1 to 2 weeks We start with after hours calls or one location, review transcripts daily, and widen coverage when your team is comfortable. **You get:** Live agent, Dashboard, Runbook and training

## Building a HIPAA compliant AI receptionist, in practice

No software is HIPAA compliant on its own. Compliance comes from how the system is built, which vendors it uses and how your practice runs it.

### Business Associate Agreements

Under HIPAA, any vendor that creates, receives, stores or sends protected health information for you is a business associate. We sign a BAA with you and use only vendors that sign one with us. See the [HHS guidance on business associates](https://www.hhs.gov/hipaa/for-professionals/privacy/guidance/business-associates/index.html) .

### Cloud and model providers

HHS treats a cloud provider that stores ePHI as a business associate even if data is encrypted, per its [cloud computing guidance](https://www.hhs.gov/hipaa/for-professionals/special-topics/health-information-technology/cloud-computing/index.html) . We run on BAA covered services such as AWS Bedrock or Azure OpenAI with data retention switched off where offered.

### Minimum necessary data

The agent sees only what the task needs. A booking agent can read the schedule and demographics; it cannot open clinical notes. Permissions are enforced in code.

### Redaction in logs and analytics

Call transcripts used for quality review are stored in your environment. Evaluation datasets are redacted of names, dates of birth and member numbers.

### Audit trail

Every booking, cancellation and transfer is logged with time, caller, tool call and result, so your privacy officer can reconstruct any interaction.

### UK GDPR and UAE rules

Health data is special category data under UK GDPR, so we support your DPIA. For UAE clinics we host in the country and follow the [UAE health ICT law](https://uaelegislation.gov.ae/en/legislations/1209) alongside the UAE PDPL, Federal Decree Law No. 45 of 2021.

## Healthcare AI rules in the US, UK and UAE

The same voice agent needs a different data plan in each market. These are the rules we design around; your compliance lead makes the final call.

US

### United States

HIPAA is the baseline for any US clinic. The Privacy Rule, Security Rule and Breach Notification Rule apply to patient data the AI handles, and every vendor in the chain needs a BAA. Outbound reminder calls and texts also need to respect patient contact preferences and the TCPA.

- BAAs with us and every sub processor
- Security Rule safeguards: access, audit, encryption
- State laws such as CCPA/CPRA where they apply
- Documented patient contact consent

UK

### United Kingdom

Health data is special category data under UK GDPR, so a DPIA comes first. Anything sold to the NHS is assessed against the [Digital Technology Assessment Criteria](https://digitalregulations.innovation.nhs.uk/regulations-and-guidance-for-developers/all-developers-guidance/using-the-digital-technology-assessment-criteria-dtac/) , which NHS England refreshed in 2026, and organisations with access to NHS data complete the [Data Security and Protection Toolkit](https://www.dsptoolkit.nhs.uk/) .

- DPIA and lawful basis for health data
- DTAC: clinical safety, data protection, security, interoperability, accessibility
- DCB0129 and DCB0160 clinical safety standards
- UK hosting on request

UAE

### United Arab Emirates

Federal Law No. 2 of 2019 on the use of ICT in health fields restricts storing or processing health data outside the UAE (Article 13), with exceptions set by Ministerial Decision No. 51 of 2021, and requires records to be kept at least 25 years. The DHA in Dubai and the Department of Health in Abu Dhabi have their own AI policies, including the DoH Responsible AI Standard of 2025.

- In country hosting in Azure UAE North or AWS Middle East (UAE)
- Arabic and English voice and text
- Alignment with DHA and DoH AI policies
- NABIDH and Malaffi through your facility

## What AI for healthcare clinics costs to build

Typical ranges; you get one fixed price in writing after a free scoping call.

### AI front desk

One clinic or one phone line that needs calls answered and booked

$10,000 to $30,000 £8,000 to £24,000 AED 37,000 to AED 110,000

3 to 6 weeks

- Voice agent for one line
- Booking in one scheduling system
- Reminders and confirmations
- Escalation rules and red flag tests
- Call summaries and dashboard

### Patient access agent

Practices and small groups that want voice, text, intake and waitlist in one

$30,000 to $75,000 £24,000 to £60,000 AED 110,000 to AED 275,000

6 to 12 weeks

- Voice and SMS or WhatsApp
- EHR or PMS write integration
- Intake forms and card capture
- Waitlist and recall campaigns
- Several locations and providers
- Staged go live

### Clinic operations platform

Groups that want front desk, billing and knowledge search on one platform

$60,000 to $150,000 £48,000 to £120,000 AED 220,000 to AED 550,000

12 to 20 weeks

- Patient access agent
- Eligibility and revenue cycle automation
- Documentation drafting for clinicians
- Staff knowledge search with permissions
- Admin console and reporting

- [Not ready to commit to the full build? Start with a 10 day AI Pilot on your own data for $1,500 (£1,200, AED 5,500). The full fee is credited if you continue.See the pilot](https://vrisic.com/ai-pilot/)
Typical ranges, not quotes. Running costs are separate: managed support from $1,500 per month, model and hosting usage billed at cost, and voice usage of roughly 8 to 25 US cents per minute (our typical estimate). See how we price in our [AI development cost guide](https://vrisic.com/blog/ai-development-cost/) and the [Clutch AI pricing data (2026)](https://clutch.co/developers/artificial-intelligence/pricing) .

## Questions to ask a healthcare AI development company

Use these on any vendor, including us. Vague answers here usually mean problems later.

1. 1 Will you sign a BAA, and which of your vendors will? A vendor that cannot list every sub processor touching patient data, each with a BAA, cannot support a HIPAA programme.
2. 2 How do you stop the agent giving clinical advice? Look for enforcement in the tools the agent can call and in automated tests, not only in the prompt. Ask to see the red flag test set.
3. 3 Which API does the integration use, and who approved it? Screen scraping an EHR breaks on the next update and may breach your licence. Official APIs or partner programmes such as Epic on FHIR or the Dentrix API Exchange are what you want.
4. 4 Where are call recordings and transcripts stored? Recordings hold names and symptoms. They belong in your cloud account or a BAA covered store, with retention you set.
5. 5 Does our clinic keep ownership of the patient assistant we pay for? You should. That lets you change vendors, audit behaviour and keep improving the system. Our [way of working](https://vrisic.com/how-we-work/) hands over everything at the end of the project.

## More on healthcare AI and voice agents

Services and guides that go deeper on the parts of this page.

- [Voice AI development](https://vrisic.com/services/voice-ai-development/): How we build phone agents that book and transfer.
- [AI integration](https://vrisic.com/services/ai-integration/): Connecting AI to your EHR, PMS and billing systems.
- [Custom AI software](https://vrisic.com/services/custom-ai-software-development/): Platforms for multi site clinic groups.
- [AI for law firms](https://vrisic.com/industries/law-firms/): How confidentiality first design works in legal.
## Questions we hear every week

Still unsure about something? Ask us on a call. We will give you a straight answer, even if it means we are not the right partner.

- [Ask a question](https://vrisic.com/contact/)
### What is an AI medical receptionist?

An AI medical receptionist is a voice and messaging agent that answers patient calls, books and moves appointments in your scheduling system, answers administrative questions such as opening hours, parking and accepted insurance, and hands anything clinical or urgent to a human. It works around the clock, follows scripts your practice approves and writes a summary of every call to your system.

### Can an AI dental receptionist book directly into Dentrix or Open Dental?

Usually yes. Open Dental publishes an API, and Henry Schein One runs an API Exchange programme for Dentrix and Dentrix Ascend. We confirm which endpoints your version and plan allow during scoping. Where direct writes are not allowed, the agent holds the slot, collects the details and your front desk confirms it in one step.

### Do you sign a Business Associate Agreement for US healthcare projects?

Yes. When our work involves protected health information we sign a Business Associate Agreement with you, and we build only on vendors that will sign one with us, such as the major cloud platforms and model providers for their eligible services. Anything without a BAA stays away from patient data. Your privacy officer reviews the final data flow before go live.

### Will the AI ever give clinical advice to patients?

No. Our healthcare agents are limited to administrative tasks and to wording your clinicians have approved. If a caller describes symptoms, the agent follows your escalation rules: transfer to a nurse line, advise calling emergency services, or book an urgent slot. Those rules are tested against a written set of red flag phrases before the agent takes a single live call.

### How does AI patient intake work before an appointment?

AI patient intake sends a secure link or runs a short conversation by text or voice, collects demographics, insurance details, medical history questions and consent forms, checks answers for gaps, and writes the structured result into your EHR or practice management system. Staff review flagged items only, instead of retyping clipboards at the desk on the day.

### Is an AI scribe or documentation assistant a medical device?

It can be, depending on what it does. A tool that only transcribes and drafts notes for a clinician to review is usually treated differently from one that suggests diagnoses or treatment. In the UK, the MHRA and the NHS DTAC ask about this directly. We keep documentation support on the drafting side.

### Where is patient data stored for a UAE clinic?

Inside the UAE by default. Federal Law No. 2 of 2019 restricts storing or processing health data outside the country unless an approved exception applies, so we host in UAE cloud regions such as Azure UAE North or the AWS Middle East (UAE) region, and choose models that can run there. We document the data flow for your DHA or DoH submission.

### How long does it take to launch an AI receptionist in a clinic?

A single line AI receptionist with scheduling integration typically goes live in 3 to 6 weeks. An integrated patient access agent covering voice, text, reminders and intake across several locations usually takes 6 to 12 weeks. Most of the time goes into integration testing and approving call flows with your team, not into the AI itself.

## Find the process where AI will pay off first

Message us on WhatsApp for the fastest reply, or book a free thirty minute call. You will leave with the processes most worth automating, whether to build new or upgrade what you have, a realistic timeline and a clear idea of cost, whether or not you work with us.

- [Chat on WhatsApp](https://wa.me/916377767206?text=Hi%20Vrisic%2C%20I%20found%20you%20on%20your%20website%20%28your%20services%29.%20I%20would%20like%20to%20talk%20about%20an%20AI%20project.)
- [Book a free strategy call](https://vrisic.com/contact/)
No obligation. NDA available on request.

WhatsApp replies are usually fast; email within one business day.

- [Or start with a 10 day AI Pilot for $1,500, credited in full](https://vrisic.com/ai-pilot/)

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