Real Patient Data · Institution-Specific · Evidence-Based

Clinical decisions,
grounded in your own data.

ClinIQ gives your team evidence-based decision support, augmented with your own hospital's inpatient records. Every recommendation is weighted by what has actually happened at your institution.

Built for clinicians
Augmented with real inpatient data
Patient data never leaves your network
On-premise deployment
cliniqai.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 Assessment
58-year-old male, acute chest pain radiating to jaw with diaphoresis. Highly suspicious for acute coronary syndrome; requires 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
Assessment specialties
27+
Referral specialties supported
0
Patient records sent to the cloud
100%
Runs on your infrastructure
Features

Everything your clinical team needs

Differential diagnoses, investigation planning, referral and doctor sign-off, in one clinical workflow.

AI Clinical Assessment
Submit patient data via structured form or free-text. Red flags, differential diagnoses, investigation plans and evidence-based management come back 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 at the top of every assessment, ahead of everything else.
Admission Workflow
Admission requests carry an urgency grade (Routine, Urgent or Emergency) and route automatically 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 without leaving the screen.
Real-Time Notifications
Bidirectional notification system. Doctors are alerted to new referrals, and the referring clinician hears back as soon as a decision is made.
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 a targeted AI assessment.
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 on one platform

Assessments are tuned per specialty, so the differentials and investigations reflect how that specialty actually works up a case.

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 full AI analysis and every clinician note, in a single review screen.
  • 4
    The referrer always hears back
    The referring clinician is notified the moment a decision is made, whether the patient is admitted, rejected or discharged.
Case status · illustrative example
Clinician submits case AI analysis attached · Urgency: Emergency
Sent
Routed to Cardiology queue
Dr Patel · Cardiology Reviewing case · Action plan being edited
Reviewing
Decision made
Patient admitted to Cardiology Ward 4B · Doctor notes attached
Admitted
Clinician notified
Referring nurse notified "MRN 4471882 admitted by Dr Patel · Cardiology"
Delivered
Real Patient Data

Clinical assessment grounded
in your hospital's history

ClinIQ augments the AI-generated assessment 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 only against the general literature.
  • Kept current with your case mix As new cases are admitted and closed, they are re-indexed into the retrieval set, so the cases ClinIQ cites stay representative of your current patient population.
  • Similarity-matched retrieval When a new patient is assessed, ClinIQ surfaces the most clinically similar historical cases, giving clinicians precedent from their own hospital.
How augmentation works
Illustrative 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 assessment generated
AI assessment 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
Product demo

One case,
start to finish

A complete walkthrough, from an MRN lookup at the bedside to a structured assessment, collaborative review, a finalised diagnosis, and an inter-hospital transfer with SBAR handover documentation.

5 min 46 sec 14 chapters 1080p · captioned

All ClinIQ AI output is decision support only and does not constitute medical advice. Clinical judgement of the treating clinician takes precedence at all times.

Pricing

Built around your hospital,
not a price list.

Every deployment differs by bed count, specialties, EHR and on-prem vs. cloud requirements. Tell us a bit about your hospital and we'll put together a plan and a quote within one working day.

1 Hospital size
2 Clinicians
3 Goals
4 Contact

How big is your hospital?

How many clinicians will use ClinIQ?

Doctors, nurse practitioners and other prescribing staff who'd review AI assessments.

What do you want to achieve?

Select all that apply.

What's the best way to reach you?

Thanks — we're putting together your quote

Our team will be in touch within one working day with pricing tailored to your hospital.

No public price list · No commitment · Response within 1 working day

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 working day

Get in Touch

Reach out to us directly. We typically respond within one working day.

Email
contact@cliniqai.health
Phone
(443) 559-2211