Clinical AI Solutions for Safer, Clearer Intake
We build clinical AI tools that sort patient messages by urgency, draft clear intake briefs, and send structured notes to your team.
AI systems built for
Symptom Triage
Messages sorted Routine, Urgent or Emergency, with urgent cases first.
Intake Briefs
Patient messages turned into short briefs clinicians can scan before visits.
FHIR-Ready Output
Intake data formatted as FHIR output for your EHR workflow.
Safety Guardrails
Emergency wording halts the flow and alerts your coordinators.
A Clinical AI Team, Not a Generic Chatbot Vendor
We build clinical AI around your guidelines, handbooks and triage rules, so the system reflects how your practice works. Patient messages arrive sorted by urgency, with a structured brief attached, instead of paragraphs your team must read and retype. Your clinicians stay in charge: the system sorts and summarises, it never diagnoses, and urgent cases go to your coordinators.
- Built on your guidelines and handbooks, not generic public AI tools.
- Triage, briefs and EHR output from one team, scoped together.
- You own your guidelines, data rules and system configuration.
- Direct access to the people designing and building your system.
Clinical intake has a harder job
A patient message rarely states one symptom. It arrives as a long paragraph, at any hour, often with history and worry mixed in, and someone must read it, judge its urgency and retype it before care starts.
It has to sort urgency first
A routine refill and chest pain cannot share one queue. Urgent cases come first.
It has to shorten the hand-off
Clinicians need a brief they can scan in seconds, not a long paragraph they must reread, interpret and retype before care starts.
It has to stay within your rules
Generic public tools were not built for patient data. Your system must follow your guidelines.
It has to escalate without delay
When emergency wording appears, the flow must stop at once, show emergency instructions and alert coordinators.
If your team still reads every intake message by hand, sorts it by feel and retypes it for the chart, the delay starts before care does.
Triage That Sorts Urgency First
Patient messages are classified as Routine, Urgent or Emergency, using your triage rules and guidelines. Routine messages are collected and briefed for review. Urgent messages move to the front of the queue, and emergency wording halts the flow, shows emergency instructions and alerts your coordinators.
- Routine, Urgent and Emergency classification from your own rules
- Emergency wording halts triage and alerts coordinators
- Urgent cases flagged first, routine cases briefed for review
- Every classification logged for your team to audit
- Triage only: the system never diagnoses a patient
Triage is not diagnosis. The system sorts severity, collects intake details and flags urgent care for your team at every step, but it never names a condition or recommends treatment. Clinical decisions stay with your clinicians.
Briefs Your Clinicians Can Read in Seconds
Long intake messages become short, structured briefs: symptoms, history and key details in one place, ready before the visit. Your clinicians open a clear summary instead of rereading a paragraph, and the brief is formatted for your records, not pasted as free text.
- SOAP-style briefs built from your own templates
- Symptoms, history and key details in one summary
- Briefs ready before the visit, not after it
- Structured output your team can review and correct
- Patient portals, secure access to briefs, messages and results. Patient portal development
- AI medical receptionist, voice answering and after-hours call handling, kept on its own page. AI medical receptionist
- EHR sync, briefs formatted in FHIR for Epic, Cerner or Athena workflows, confirmed against your systems in discovery before we promise a connection.
A Clear Path From Audit to Live
Five steps, agreed in writing before build starts. Your guidelines, handbooks and data rules shape every step, and no model goes live until your team has reviewed it.
01Data Audit
We review your guidelines, handbooks and schedule limits, and agree what the system may and may not handle.
02Prompt Design
We write structured medical instructions, triage logic and safety guardrails, and test them against your example messages before any tuning.
03Fine-Tuning
We tune models on secure servers using anonymised logs and your handbooks, then check accuracy with your team.
04Integration
We connect portal components and EHR records, and confirm each integration against your actual systems in testing before launch.
05Deploy & Audit
We deploy inside your agreed data scope, with logs your team can audit and accuracy checks after launch.
Structured Output Your EHR Can Actually Use
Intake briefs leave the system as structured data, not paragraphs to retype. Symptoms, urgency and key details are formatted in FHIR JSON, ready for Epic, Cerner or Athena workflows where your system supports it, and pushed to patient records through integration APIs agreed in discovery. Your team reviews every brief before it reaches the chart.
- FHIR JSON output for symptoms, urgency and intake details
- HL7 formatting where your existing systems need it
- Briefs reviewed by your team before reaching the chart
- Integration scope confirmed in discovery, not assumed
Voice receptionist, scheduling and recall work belongs on its own pages, so this page stays focused on triage and briefs. See our healthcare automation service for recall and scheduling, and our AI medical receptionist page for voice answering.
What Clinical AI Has to Get Right
Clinical AI earns trust by staying inside its scope. It sorts urgency, collects intake details and drafts briefs, and it stops where clinical judgement begins. Emergency wording ends the flow at once, and your coordinators are alerted. Nothing here replaces a clinician, and no brief reaches a record without your team's review. That boundary is written into the design, not left to chance.
If your practice also needs voice answering, video visits or portal tools, those services sit alongside this one. See our AI medical receptionist page for voice work, our telemedicine solutions page for video visits, and our patient portal development service for portal assistants, so each system is scoped and priced on its own merits.
The standard we build to
- Triage rules written from your guidelines, not generic defaults
- Emergency wording halts the flow and alerts coordinators
- Briefs your clinicians can review, correct and approve
- FHIR-formatted output for your EHR workflow
- Data scope agreed in writing before any build
- Data handling and retention scoped with you before build
Guardrails Come First, Not as an Afterthought
Safety guardrails are designed before any model is tuned. Emergency terms halt the conversation, emergency instructions appear, and coordinators receive a high-priority alert. Logs let your team audit every classification, and accuracy is checked with your team after launch, not assumed.
- Emergency terms halt the flow and trigger alerts
- Every triage decision logged for audit
- Accuracy reviewed with your team after launch
- Your guidelines govern the model, not public defaults
Data handling, hosting and retention are agreed with you in discovery before any build starts, so there are no surprises at launch.
Security & Privacy
Security, privacy and HIPAA: explained plainly
A clinical AI tool is not safe because it uses a well-known model, and no honest vendor should sell you a badge. What matters is what patient information the system collects, stores or transmits, and how your organization governs it.
Here is how we approach it in practice:
- A triage and briefing tool that handles patient messages is designed around your data scope from the start: what it may collect, where it may run, and how long information is kept are agreed with you in discovery, in writing, before build.
- Any component that will handle protected health information is scoped separately, with encryption in transit and at rest, access controls, audit logging and appropriate hosting agreed first, and Business Associate Agreements put in place with the vendors involved where the work requires them, agreed before any build begins.
- Tracking tools need care around clinical systems too. The US Department of Health and Human Services has published guidance on how HIPAA applies to online tracking technologies. We review analytics and advertising tags against that guidance with you before launch, rather than installing them by default.
For more detail, read how we approach HIPAA across our work.
Clinical AI for the way your organization works
We build triage and briefing systems for clinics, networks and health tech teams.
Solo & Group Clinics
Specialist Networks
Hospital Systems
Health Tech Platforms
Primary Care Clinics
Urgent Care Centers
Telehealth Providers
Multi-Specialty Groups
Cardiology Practices
Mental Health Clinics
We also build for independent doctors and physicians, urgent care teams and specialty centers that need triage and briefs without adding front-desk headcount. Voice answering starts with our AI medical receptionist page, and portal work with our patient portal development service.
Generic AI tool or clinical AI? An honest comparison
| Question | Generic public AI tool | Clinical AI with MedClinicX |
|---|---|---|
| Cost at the start | Lower for a quick try | Scoped and priced in discovery |
| Launch speed | Instant, with generic defaults | Slower: guidelines and guardrails come first |
| Triage and escalation | No clinical escalation path | Routine, Urgent and Emergency routing with alerts |
| Patient data handling | Terms you do not control | Scope agreed with you before build |
| EHR output | Free text to copy by hand | Structured FHIR output for your workflow |
| Best for | Trying a chatbot on a general site | Practices that need triage and briefs they can audit |
If a generic tool is genuinely enough for your stage, we will tell you.
What affects the price of a clinical AI system?
We quote per project after discovery, because the drivers of cost are knowable only after we see your guidelines and systems.
Two ways to work with us: a fixed-scope project with defined deliverables and a defined price, or a phased build that launches triage first and adds briefs and EHR output in a second phase.
Get a Written Quote for Your Clinical AI SystemWhat moves a quote
- Number of triage rules and clinical guidelines to encode
- New build, or added to an existing portal or EHR workflow
- FHIR, HL7 or portal integrations required
- How much guideline and handbook content already exists
- The level of ongoing audit and support you want
See it before you commit: clinical AI demos
We would rather show you working software than describe it. Our demo area includes clinical experiences you can click through today. Try sending a sample intake message, and see how it is sorted.
Explore Clinical AI Demos
Everything You Need to Know
Quick answers to common questions about clinical AI, triage and intake briefs.
Still have a question? Send us your project details and we will reply in writing.
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