Revolutionize patient care with Clinext. Featuring Automated SOFA Scoring, Sepsis Prediction, and real-time IoMT connectivity. Seamless data continuity from the OR to the ICU, powered by Explainable AI (XAI).
Forget static demos. Experience Clinext's real-time analysis engine with your own data or live simulations right now.
Select Data Source:
{
"resourceType": "Bundle",
"type": "collection",
"meta": {
"source": "urn:CLINEXT_IOMT:ICU_01:CDSS_AI:SERVER",
"lastUpdated": "2025-01-14T12:00:00Z"
},
"entry": [
{
"resource": {
"resourceType": "Patient",
"id": "123456789",
"name": [{"family": "HASTA", "given": ["ANONIM"]}]
}
},
{
"resource": {
"resourceType": "Observation",
"code": {"coding": [{"system": "http://loinc.org", "code": "8867-4", "display": "Heart rate"}]},
"valueQuantity": {"value": 135, "unit": "bpm", "code": "/min"},
"interpretation": [{"code": "H", "display": "High"}]
}
},
{
"resource": {
"resourceType": "Observation",
"code": {"coding": [{"system": "http://loinc.org", "code": "8480-6", "display": "Systolic blood pressure"}]},
"valueQuantity": {"value": 85, "unit": "mmHg", "code": "mm[Hg]"},
"interpretation": [{"code": "L", "display": "Low"}]
}
},
{
"resource": {
"resourceType": "Observation",
"code": {"coding": [{"system": "http://loinc.org", "code": "2708-6", "display": "Oxygen saturation"}]},
"valueQuantity": {"value": 92, "unit": "%", "code": "%"},
"interpretation": [{"code": "L", "display": "Low"}]
}
},
{
"resource": {
"resourceType": "Observation",
"code": {"coding": [{"system": "http://loinc.org", "code": "6690-2", "display": "Leukocytes [#/volume] in Blood"}]},
"valueQuantity": {"value": 22.5, "unit": "10*3/uL", "code": "10*3/uL"},
"interpretation": [{"code": "H", "display": "High"}]
}
},
{
"resource": {
"resourceType": "Observation",
"code": {"coding": [{"system": "http://loinc.org", "code": "32693-4", "display": "Lactate [Moles/volume] in Blood"}]},
"valueQuantity": {"value": 5.2, "unit": "mmol/L", "code": "mmol/L"},
"interpretation": [{"code": "H", "display": "High"}]
}
},
{
"resource": {
"resourceType": "Observation",
"category": [{"coding": [{"system": "http://terminology.hl7.org/CodeSystem/observation-category", "code": "exam"}]}],
"code": {"text": "Ventilator Mode"},
"valueString": "SIMV",
"component": [{"code": {"text": "PEEP"}, "valueQuantity": {"value": 10, "unit": "cmH2O"}}]
}
},
{
"resource": {
"resourceType": "MedicationAdministration",
"status": "in-progress",
"medicationCodeableConcept": {"text": "Noradrenaline"},
"dosage": {"rateQuantity": {"value": 0.5, "unit": "mcg/kg/min"}}
}
}
]
}Transition to proactive patient management. An end-to-end digital critical care solution designed to reduce mortality rates and optimize hospital operational costs.
Vendor-neutral data capture from ventilators, monitors, and anesthesia machines. Millisecond-level data streaming compliant with HL7/FHIR standards.
Advanced time-series forecasting algorithms detect Septic Shock risk 12 hours before clinical symptoms appear.
Eliminate manual calculation errors. Dynamic SOFA and APACHE scores updated instantly based on vital sign fluctuations.
Your AI assistant analyzes thousands of data points in seconds. It frees you from alarm fatigue and alerts you only when it truly matters. For anesthesiology and surgical teams, OR data continues seamlessly once the patient transfers to the ICU.
Intelligent assistant modules supporting clinicians from the OR to discharge.
Predicts Acute Kidney Injury risk 6 hours in advance by analyzing real-time urine output and fluid balance.
Analyzes RSBI and respiratory mechanics to identify the optimal window for extubation and ventilator weaning.
Continuously monitors positive fluid balance and lung interaction to prevent 'Fluid Overload' complications.
Prevents information loss during shift changes. Generates automated reports summarizing critical events of the last 24 hours.
Monitors infusion pumps to detect potential Drug-Drug Interactions (DDI) and dosage errors in real-time.
Calculates SOFA, APACHE II, and SAPS scores instantly using live vital data, removing manual data entry needs.
When a patient transfers to the ICU, a summary of the last case — intraop hypotension exposure, anesthesia drug list, surgery type/duration, crisis events — is automatically included in the ICU's AI assessment, enriching post-op risk analysis.
A primary model produces the clinical analysis; a second model acts as an auditor to independently check it. Outputs that pass the audit are presented to the clinician for information only.
Analyzes arterial waveform and vital trends to flag intraoperative hypotension risk minutes in advance.
Scores postoperative ICU need and complication risk from surgical data and comorbidities.
A digital checklist flow covering sign-in, time-out, and sign-out phases. Every step is logged with signature/approval.
Vitals, ventilation (MV, ETCO2), and anesthetic gas (SEVO, MAC) on one screen, updated every second.
Read-only data streaming from anesthesia machines of different brands (Dräger, GE Aisys, etc.) via HL7/Medibus — vendor-neutral.
Generates a handover note automatically summarizing the checklist, event log, and vital trends for OR-to-ICU/PACU transfer, preventing information loss.
Real-time interaction alerts and dosage safety checks for anesthetic drugs, powered by the drug catalog.
End the device chaos. Clinext IoMT Gateway connects hundreds of medical devices—from ventilators to infusion pumps—into a single unified system.
Plug-and-play support for Draeger, GE, Philips, Mindray, and more. No custom coding required.
Protect your hospital's hardware investment. A universal infrastructure that communicates with any device brand.

The findings below come from independent published research on AI in intensive care and the operating room, and inform Clinext's approach. Clinical validation of Clinext's own models is ongoing at pilot sites.
The SERA algorithm predicted sepsis onset 12 hours in advance with an AUC of 0.94.
The SepsisAI model reached 96.75% specificity — high specificity means fewer false alarms.
Automated documentation raises charting completeness to 98%, against 95% with manual entry — and takes 6.1 minutes less.
Uploading vitals straight from the device drops the documentation error rate below 1%; manual charting measured 10%.
In a randomised trial, mean hospital stay fell from 13.0 to 10.3 days.
The TREWS early-warning system was associated with an 18.7% relative mortality reduction in patients whose alert was confirmed within 3 hours (590,736 patients, 5 sites).
The Hypotension Prediction Index predicted hypotensive episodes 5 minutes in advance with an AUC of 0.95.
Hatib et al., Anesthesiology 2018 — independent literature; not Clinext's own measurement.
"We've been in health IT since 1999. In 2018, we moved radiology to the cloud with imageRAD. Today with Clinext, our goal is not just to store data, but to transform it into a life-saving intelligence for ICUs."
Founder & CEO

To be the global standard-setter in AI-driven intensive care management and a trusted partner in health technology.
Transforming complex patient data into actionable clinical insights to enhance patient safety and reduce healthcare costs.

























































Bilişim Vadisi İzmir
Clinext is built by the architects of imageRAD.com, the region's first cloud-based teleradiology platform. We are bringing our digital transformation expertise from radiology to the ICU.
Yes. Thanks to our native 'IoMT Gateway' technology supporting HL7 and FHIR standards, Clinext integrates seamlessly with thousands of vendor-neutral devices and all modern EHR infrastructures.