Real Patient Data · Institution-Specific · Evidence-Based

Clinical decisions,
backed by AI.

ClinIQ brings evidence-based clinical decision support to your team — powered by AI augmented with your hospital's own inpatient records. Every recommendation is grounded in outcomes from your institution.

Built for clinicians
Augmented with real inpatient data
HIPAA compliant
On-premise deployment
cliniq.health — ClinIQ · Clinical Decision Support
Specialty
⚕️ General
🫀 Cardiology
🧠 Neurology
🫁 Respiratory
Patient Information
Presenting Complaint
Chest pain 2h, radiation to jaw, diaphoresis
Age / Sex / Vitals
58yr Male · BP 160/95 · HR 102 · Sats 96%
🫀 Generate Clinical Advice
58-year-old male presenting with acute chest pain with radiation to jaw and diaphoresis — highly suspicious for acute coronary syndrome requiring urgent evaluation.
🚨 Red Flags
▸ STEMI equivalent presentation — time-critical
▸ Haemodynamic compromise risk
▸ Jaw radiation with diaphoresis
🔬 Investigations
12-lead ECG Troponin FBC CXR
🩺 Differentials
STEMI — High NSTEMI — High Aortic Dissection — Medium
8
Medical Specialties
27+
Doctor Specialties Supported
0
Patient Data Sent to Cloud
100%
Local — Your Infrastructure
Features

Everything your clinical
team needs

From AI-powered differential diagnoses to real-time doctor notifications — ClinIQ is a complete clinical workflow platform.

🤖
AI Clinical Advisor
Submit patient data via structured form or free-text. Get back red flags, differential diagnoses, investigation plans, and evidence-based management — in seconds.
🔬
Structured Investigations
AI-generated investigation panels categorised by type (bloods, imaging, microbiology) with clinical rationale for each recommendation.
🚨
Red Flag Detection
Automatic identification of time-critical presentations. Red flags surface immediately at the top of every assessment — before anything else.
🏥
Admission Workflow
Seamless admission requests with urgency grading (Routine / Urgent / Emergency). Cases are automatically routed to the right specialty doctor queue.
✏️
Doctor Review & Override
Doctors review the full AI analysis, edit the suggested action plan inline, add clinical notes, then Admit, Reject, or Discharge — all in one modal.
🔔
Real-Time Notifications
Bidirectional notification system. Doctors are alerted to new referrals; clinicians are notified the moment a decision is made on their patient.
How it works

From bedside to decision
in four steps

01
Enter Patient Data
Use the structured clinical form or paste free-text notes. Select the relevant specialty for targeted AI advice.
02
AI Analysis
The AI analyses the case against your hospital's inpatient history, generating red flags, differentials, investigations, and a contextualised evidence-based action plan.
03
Admit Request
Attach patient details and submit an admission request. The relevant specialty doctors are instantly notified in their queue.
04
Doctor Decision
The reviewing doctor edits the action plan, adds clinical notes, and makes a decision. The referring clinician is notified immediately.
Specialties

Eight specialties,
one platform

Each specialty has a tailored AI system prompt, ensuring clinical advice is contextualised to the right domain of medicine.

⚕️
General Medicine
Broad acute medical presentations, multi-system assessment
🫀
Cardiology
Chest pain, ACS, arrhythmias, heart failure presentations
🧠
Neurology
Stroke, seizures, headache, peripheral and central nervous system
👶
Paediatrics
Age-appropriate assessments for paediatric presentations
🫁
Respiratory
Dyspnoea, pneumonia, COPD, asthma, pulmonary embolism
🔬
Gastroenterology
GI bleeds, abdominal pain, liver disease, IBD flares
🦴
Orthopaedics
Fractures, MSK injuries, joint pathology, post-op concerns
🧩
Psychiatry
Mental health crisis, risk assessment, psychosis, mood disorders
Admission Workflow

A complete referral
system, built in

  • 1
    Automatic doctor matching
    When a clinician submits an admission request, ClinIQ automatically identifies all registered doctors in that specialty and routes the case to their queue.
  • 2
    Urgency-based prioritisation
    Cases are graded Routine, Urgent, or Emergency. Emergency cases rise to the top of every doctor's queue and trigger immediate notification.
  • 3
    Full case context preserved
    The reviewing doctor sees everything: the original patient data, the complete AI analysis, and all clinician notes — in a single review modal.
  • 4
    Closed-loop notifications
    Decisions close the loop. The referring clinician receives an instant notification when their patient is admitted, rejected, or discharged.
Live case status
🩺
Clinician submits case AI analysis attached · Urgency: Emergency
Sent
↓ Routed to Cardiology queue
👨‍⚕️
Dr. Smith — Cardiology Reviewing case · Action plan being edited
Reviewing
↓ Decision made
✅
Patient admitted to Cardiology Ward 4B · Doctor notes attached
Admitted
↓ Clinician notified
🔔
Nurse A notified "John Doe admitted by Dr. Smith — Cardiology"
Delivered
📊 Real Patient Data

Clinical advice grounded
in your hospital's history

ClinIQ augments AI-generated advice with your hospital's own inpatient records — so every recommendation reflects the outcomes, protocols, and case patterns specific to your institution.

  • ✓
    Inpatient record integration Historical admission data, discharge summaries, and clinical outcomes are ingested and indexed, forming the foundation of every AI recommendation.
  • ✓
    Institution-specific context Recommendations are weighted against what has actually worked at your hospital — not just generalised medical literature.
  • ✓
    Continuous learning loop As new cases are admitted and closed, the augmentation layer updates — keeping clinical advice aligned with your evolving patient population.
  • ✓
    Similarity-matched retrieval When a new patient is assessed, ClinIQ surfaces the most clinically similar historical cases — giving clinicians direct precedent from within their own walls.
🗂️
How augmentation works
Live example — Cardiology presentation
1
New patient presented
58M · Chest pain · Diaphoresis · BP 160/95
2
Historical records searched
847 similar inpatient cases matched across 5 years
3
Outcomes analysed
78% STEMI confirmed · Avg time-to-cath 42 min at this trust
4
Augmented advice generated
AI advice enriched with your trust's protocols & precedent
Top matched historical cases
INP-2023-4471 96% match Admitted → STEMI pathway
INP-2022-8830 91% match Admitted → Cath lab 38 min
INP-2024-1102 88% match Discharged → ACS ruled out
Get in Touch

See ClinIQ AI
in action

Book a personalised demo for your team, or contact us to discuss deployment options for your organisation.

Or email us directly

No commitment · For qualified clinical teams only · Responses within 1 business day

💬

Get in Touch

Reach out to us directly — we typically respond within one business day.

Email
contactcliniqai@gmail.com
📞
Phone
(443) 559-2211