HIPAA · GDPR · SOC 2 Compliant

Patients describe.
AI understands.
Clinics route.

NLP Intake · Symptom Classification · Smart Routing

ClinicaAI lets patients describe symptoms in plain language or speech — then classifies urgency, completes intake forms, and routes them to the right department in under 30 seconds.

Get started See it in action
99.1%
Intent accuracy
1.2M+
Patient interactions
67%
Faster triage
ClinicaAI Intake
City General Hospital · ED Intake
NLP
Speech
Queue: 4
HIPAA Encrypted
No data stored
50+ languages
Deployed at
The problem

Patient intake is
broken. AI can fix it.

Hospitals lose $8.3B annually to inefficient triage and misrouting. The average patient wait begins at intake — not in the waiting room.

// Without ClinicaAI
Patients fill out paper or digital forms with medical terminology they don't understand — leading to incomplete, inaccurate data
Triage nurses manually assess every incoming patient — a bottleneck that creates dangerous wait times in high-volume EDs
Non-English speaking patients face even higher barriers — interpreters are slow, expensive, and often unavailable
Misrouting patients wastes specialist time, delays urgent care, and drives down patient satisfaction scores
Telehealth platforms have no intake intelligence — patients enter the wrong virtual queue daily
// With ClinicaAI deployed
Patients describe symptoms in plain language — any device, any language, text or voice — and the AI captures complete, structured intake data automatically
Urgency classified and department routing completed in under 30 seconds — before the patient reaches the front desk
50+ languages supported natively — real-time multilingual NLP with no interpreter required
99.1% routing accuracy — specialists receive correctly triaged patients, wait times drop by 67%, satisfaction scores rise
Drop-in widget for any patient portal, EHR, or telehealth platform — HIPAA compliant and live in 48 hours
Process

From symptom description
to correct department

Four stages — running in real time, for every patient, in under 30 seconds.

1
Patient describes
Patient types or speaks symptoms in natural language — any device, any language. No forms, no medical jargon, no friction.
2
AI understands
Proprietary medical NLP models parse the input, extract symptom entities, assess severity signals, and flag potential urgency indicators in milliseconds.
3
Intake completes
ClinicaAI dynamically generates and pre-fills intake forms based on extracted symptom data — ready for the clinical team before the patient sits down.
4
Department routed
Patient is routed to the correct department with a priority score, wait time estimate, and structured clinical handoff — all before first human contact.
The platform

Built for the
clinical environment.

Every layer of ClinicaAI engineered for the accuracy and compliance demands of real healthcare.

Real-time processing
Symptom analysis, urgency classification, and department routing in under 200ms — even at peak volume.
< 200ms · 99.99% uptime
HIPAA & GDPR compliance
Enterprise-grade encryption at rest and in transit. BAA available. Zero patient data retained after session.
HIPAA · GDPR · SOC 2
Medical NLP models
Trained on 50M+ de-identified clinical records. Understands abbreviations, colloquialisms, and symptom co-occurrence patterns.
50M+ clinical records
EHR & portal integration
Pre-built connectors for Epic, Cerner, athenahealth, and all major telehealth platforms. API-first for custom EHR systems.
Epic · Cerner · athena
clinicaai.ai — dept routing · city general hospital
LIVE
Active routing queue · 12 patients today
🚨
Emergency Dept.
3 patients routed today
URGENT
🧠
Neurology
2 patients routed today
STABLE
🫀
Cardiology
2 patients routed today
PRIORITY
🩺
General Practice
5 patients routed today
ROUTINE
99.1%
Routing accuracy
28s
Avg. intake time
0
Misroutes today
Capabilities

Six modules. One
clinical intelligence layer.

End-to-end patient intake intelligence — from first symptom description to structured clinical handoff.

Natural Language Intake
Patients describe symptoms conversationally in plain text or voice. Medical NLP models extract structured clinical entities — chief complaint, symptom duration, severity, associated symptoms — automatically.
50M+ clinical training records
Speech-to-Text
Real-time voice recognition with medical vocabulary optimisation — understanding clinical terms, brand medication names, and symptom descriptions spoken naturally in 50+ languages.
50+ languages · real-time
Symptom Classification
AI analyses symptom combinations to identify urgency level, likely clinical category, and risk flags — using probabilistic models validated by 200+ board-certified physicians across 40 specialties.
200+ physician-validated models
Smart Clinic Routing
Intelligent department assignment based on symptom classification, current queue depth, specialist availability, and patient history — ensuring the right patient reaches the right team, first time.
99.1% routing accuracy
Intake Form Automation
Dynamic forms generated and pre-filled from NLP-extracted data — customised per specialty and EHR system. Reduces patient data entry by 90% and clinical admin time by 67%.
90% less patient data entry
HIPAA Compliance Engine
AES-256 encryption at rest and in transit. Zero patient data retention after session close. BAA included with all plans. Audit logs, access controls, and breach detection built in.
BAA included · zero retention
Why ClinicaAI

The Clinica Advantage

What makes ClinicaAI the clinical intake platform that CMOs and Directors of Patient Experience trust.

99.1%
Symptom routing accuracy
67%
Reduction in intake time
1.2M+
Patient interactions processed
50+
Languages supported
01
Medical NLP no one else has
ClinicaAI's NLP models were trained on 50M+ de-identified clinical records and validated by 200+ board-certified physicians. They understand symptom co-occurrence, temporal patterns, severity signals, and clinical colloquialisms that general LLMs miss entirely.
02
30 seconds from symptom to queue
From first patient input to department routing with structured intake data — in under 30 seconds. No triage nurse required for initial classification. Clinical staff spend time on care, not paperwork.
03
HIPAA without the headache
Every ClinicaAI deployment comes with a signed BAA, AES-256 encryption, zero-retention architecture, and audit-ready compliance reporting. Our security team has passed the privacy standards of 200+ healthcare organisations.
04
Gets smarter with every patient
Every intake interaction feeds a privacy-preserving federated learning loop — improving symptom classification accuracy, routing precision, and language coverage across the entire ClinicaAI network, while your patient data never leaves your system.
Who we serve

Built for every setting
where patients need care

ClinicaAI serves any organisation where patient intake quality and routing speed directly impact clinical outcomes.

Hospitals & Health Systems
Streamline ED triage, reduce wait times, and give clinical staff structured intake data before patients reach the bedside — across every department simultaneously.
→ Avg. 73% faster ED intake
Clinics & Medical Centres
Automate patient registration, department assignment, and intake form completion for outpatient care — reducing front-desk admin load by 90%.
→ 90% less admin burden
Specialty Practices
Route patients to the right specialist based on AI-classified symptom data — cardiology, neurology, orthopaedics, or dermatology — before the referral appointment.
→ First-visit accuracy 98%+
Urgent Care Centres
Rapidly classify patient urgency and queue priority in high-volume, fast-turnaround settings — ensuring critical patients are seen first, every time.
→ Priority queue automation
Telehealth Platforms
Power virtual consultations with intelligent pre-visit symptom navigation — routing patients to the right virtual specialist queue before the call begins.
→ Virtual routing intelligence
Academic Medical Centres
Research-backed NLP models trained on medical literature and clinical records — appropriate for teaching hospitals and research facilities with complex multi-department patient flows.
→ Research-validated models
Case study

How City General reduced
ED intake time by 73%

"ClinicaAI eliminated our most dangerous bottleneck. Patients now describe symptoms on arrival, and by the time they reach a nurse, we already have urgency classification, pre-filled intake forms, and department routing. Our ED triage time dropped from 18 minutes to under 5."

SC
Dr. Sarah Chen
Chief Medical Officer, City General Hospital
73%
Faster ED intake
18→5
Minutes saved per patient
98.7%
Routing accuracy achieved
Reviews

What clinical leaders say

Real feedback from CMOs, patient experience directors, and clinical operations leaders using ClinicaAI across hospitals, clinics, and telehealth platforms.

"
★★★★★

"ClinicaAI reduced our ER intake time by 73%. Patients love the conversational interface, and we're routing more accurately than we ever managed manually. Our nursing staff went from spending 40% of their time on admin to almost none."

David
Chief Medical Officer, City General Hospital
"
★★★★★

"The speech recognition is remarkable — patients speak naturally and the AI understands medical context perfectly. We've deployed across 12 clinics and the routing accuracy is 98.7%. Patient satisfaction scores have increased significantly and complaints about wait times are down 60%."

Dr. Michael
Director of Patient Experience, HealthFirst
"
★★★★★

"Our multilingual patient population was underserved by every intake solution we tried. ClinicaAI supports 50+ languages natively — our Spanish, Mandarin, and Arabic-speaking patients now have exactly the same intake experience as our English speakers. That alone made it worth it."

Daniel
VP of Clinical Operations, MediCare Group
The team

The minds behind ClinicaAI

AI researchers, medical doctors, and healthcare technologists united by one mission — making every patient interaction smarter, safer, and faster.

Dr. Robert Park
Dr. Friday Ujah Thomas
CEO & Co-Founder
Ex-Google Health. MD/PhD in AI. 20+ years in medical AI, clinical NLP, and healthcare technology at scale.
Elena Voss
Elvis Chidi
CTO & Co-Founder
Former Principal Engineer at Epic Systems. Healthcare AI and interoperability expert with 14 patents in clinical data systems.
David Kim
David Best
Head of AI Research
PhD in NLP. Published in Nature Medicine. Medical language specialist with focus on symptom entity recognition and clinical intent classification.
Dr. Lisa Martinez
Dr. Lizbeth Abel
Head of Clinical Strategy
Former ER physician with 25+ years in clinical operations. The clinical brain behind every ClinicaAI routing model and patient safety protocol.
Transform patient intake

Every patient understood.
Every patient routed right.

Deploy ClinicaAI on your patient portal free. No BAA delay, no engineering sprint. Live in 48 hours.

Start free trial Download clinical brief
Let's talk

Tell us about
your patient volume.

Whether you're running a single urgent care centre or a 12-hospital health system, our clinical team will scope the right deployment and walk you through the routing configuration before you sign anything.

Phone
+2349039677221
Office
Ankpa ward Makurdi, Benue State