Striking Portrait

Clinical intelligence

Clinical intelligence

Clinical intelligence

for every monitored bed

for every monitored bed

for every monitored bed

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The clinical and technology partners we build with

Innocens is a spin-out of UZA in Antwerp, where founder David Van Laere spent fifteen years as a neonatologist. UZA remains our first clinical partner.

UZA logo

Our Partnership

Innocens is a spin-out of UZA in Antwerp, where founder David Van Laere spent fifteen years as a neonatologist. UZA remains our first clinical partner.

UZA logo

ULB Logo

Erasmus MC in Rotterdam is one of the academic NICUs where Intellicens Neo was externally validated, replicating its lead-time performance in a fully independent cohort.

Erasmus MC logo

Our Partnership

Erasmus MC in Rotterdam is one of the academic NICUs where Intellicens Neo was externally validated, replicating its lead-time performance in a fully independent cohort.

Erasmus MC logo

Amsterdam UMC logo

Redacted Logo

IBM Consulting and IBM Research helped Innocens build the early machine learning foundation for late-onset sepsis detection, using federated learning on IBM Watson Studio.

Cincinnati Children's Hospital

Our Partnership

IBM Consulting and IBM Research helped Innocens build the early machine learning foundation for late-onset sepsis detection, using federated learning on IBM Watson Studio.

Cincinnati Children's Hospital

CoreOS Logo

Portainer runs the container infrastructure behind Intellicens, so modules and updates can be deployed on-premise at every hospital in the network without opening the perimeter.

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Our Partnership

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Clinical intelligence through primary reuse of monitoring data

Valuable data disappears overnight

Valuable data disappears overnight

We keep every signal, and make it usable

We keep every signal, and make it usable

And a marketplace of clinical AI runs on top

And a marketplace of clinical AI runs on top

Thousands of measurements per bed, every hour, on every patient you monitor. Almost none of it is still there a week later, and none of it is visible from anywhere but the bedside.

A data lake can hold the signals. It cannot give them back to the patient they came from. Intellicens keeps every signal as one longitudinal record and puts it in front of the clinicians reviewing that patient: interactive dashboards, side by side trends, the whole admission on one screen, anywhere in the hospital. That is primary reuse, the same data working again, for the same patient, in the same admission.

Every intensive care unit will run clinical AI. The only question is whether it arrives as twenty separate procurement projects or as one platform that is already installed.

~15,000

values per monitored bed, per hour

96h

before most of it is overwritten

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A platform for the primary reuse of monitoring and EMR data

Intellicens Data Platform

One platform behind every intensive care bed, turning the data you already collect into something your team can see, learn from and act on.

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Explore Intellicens Data Platform

Hover a capability to read what it does.

Runs on your own servers, behind the same firewall as your other clinical systems.

Runs on premise

(02)

Runs on your own servers, behind the same firewall as your other clinical systems.

Runs on premise

(02)

Reads bedside monitors over HL7 and patient context from your EMR over FHIR.

Connects to your monitors

(01)

Reads bedside monitors over HL7 and patient context from your EMR over FHIR.

Connects to your monitors

(01)

Every signal, the full patient evolution, from anywhere in the hospital.

See the full clinical picture

(03)

Every signal, the full patient evolution, from anywhere in the hospital.

See the full clinical picture

(03)

Your team builds trends, plots and KPIs in the browser, and changes them in minutes.

Build your own dashboards

(04)

Your team builds trends, plots and KPIs in the browser, and changes them in minutes.

Build your own dashboards

(04)

One platform, a marketplace of apps. No new system for every clinical question.

Clinical decision support apps

(05)

One platform, a marketplace of apps. No new system for every clinical question.

Clinical decision support apps

(05)

Develop and validate your own models on your own patients, on the same platform.

Your own app in the marketplace

(06)

Develop and validate your own models on your own patients, on the same platform.

Your own app in the marketplace

(06)

Intellicens Data Platform is investigational medical device software: not CE marked under EU MDR 2017/745, not cleared by the FDA, and not yet available for commercial clinical use.

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The first clinical decision support app in the marketplace

Intellicens Neo

An explainable sepsis risk score for the NICU.

Intellicens Neo recalculates a late-onset sepsis risk score every 30 minutes for every monitored infant, and shows which parameters drove it. In retrospective analysis it flagged sepsis a median of 11 hours before clinical suspicion [Meeus et al. 2024].

11h
Median lead time on late-onset sepsis, retrospective
1,168
Patients in the external validation cohort
SEPSIS RISK SCOREEvery 30 min
Alert threshold11 hoursIntellicens Neo flags riskscore crosses thresholdClinical suspicionsepsis declares itself
What's driving the score
← lowers riskraises risk →
Heart rate
SpO2
Glucose
Postnatal age
Temperature
Illustrative purposes only. Not an actual representation of the model's parameters, weighting or output.
Schematic. Median lead time measured retrospectively across the validation cohort [Meeus et al. 2024]. Intellicens Neo is secondary monitoring and does not replace bedside assessment. Intellicens Neo is under clinical investigation and is not yet available for clinical use. It has not been CE marked under EU MDR 2017/745 and has not been cleared by the FDA.

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Your model, next in the marketplace

Your algorithm: certified, sold and deployed

With the Intellicens Data Platform, we provide the infrastructure to validate and deploy algorithms in every unit that needs them. We handle the data, the integration and the regulatory path, so your team keeps its focus at the bedside. And when your app runs in other hospitals, your institution shares in what it earns.

01

Integrate

Integrate

Integrate

The platform was designed to take in external models. You give us a pre-processing container and a model container, we deploy them inside Intellicens and connect them to live monitor and EMR data.

02

Validate

Validate

Validate

Validate live in your own unit, then across our network, on real patients instead of a retrospective set. The platform labels your data automatically in the background, so the evidence builds itself.

03

Certify

Certify

Certify

Models for intensive care fall within the scope the platform is built and documented for. Yours is taken up in our technical file instead of a dossier of its own, and we carry it through from there.

04

Deploy

Deploy

Deploy

Your model goes live in your own unit first, then across the network. Each hospital enables it as a subscription and runs it on their own servers. They pay for it, and the revenue comes back to you.

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Scientific evidence

Evidence

Schouten et al. (Under review)

Retrospective, multi-center

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External validation across 1,165 infants at Rotterdam Erasmus UMC and Amsterdam UMC

Study protocol

Prospective, multi-center

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Post-implementation study on Intellicens Neo impact on time-to-antibiotic administration.