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POC4TRIAGE · Project

AI-Powered Rapid Diagnostic Devices for Emergency Triage and Hospital Integration

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Imagine if paramedics had a smart 'digital triage' kit that could spot a stroke or heart failure in minutes before even reaching the hospital. Instead of waiting for a full ER scan, they use wearable patches and handheld sensors that send a 'heads-up' alert to the doctors. It's like giving the hospital a real-time preview of the patient's condition to save critical minutes.

By the numbers
10
minutes for rapid diagnosis
4
rapid POC devices developed
18
consortium partners
The business problem

What needed solving

Emergency services struggle with slow triage for stroke and cardiorespiratory failure, leading to delayed treatment. Current data transfer from ambulances to hospitals is often fragmented or non-existent.

The solution

What was built

Four rapid POC devices, including a multimodal cardiorespiratory patch, an EEG-stroke head cap, and a handheld immunodetector, all linked via a Device Hospital Connectivity Platform (DHCP).

Audience

Who needs this

Ambulance service operatorsEmergency room managersMedical wearable manufacturersHospital IT infrastructure providers
Business applications

Who can put this to work

Emergency Medical Services
enterprise
Target: Ambulance service provider

If you are an ambulance service provider dealing with delayed stroke diagnosis in the field — this project developed four rapid devices that provide results in less than 10 minutes. This allows for faster triaging and better patient outcomes during transport.

Medical Device Manufacturing
SME
Target: Wearable health tech developer

If you are a wearable health tech developer dealing with the difficulty of integrating sensor data into hospital systems — this project developed a Device Hospital Connectivity Platform (DHCP). This allows multimodal patches to sync seamlessly with clinical workflows.

Healthcare IT
mid-size
Target: Hospital Information System (HIS) vendor

If you are an HIS vendor dealing with fragmented data from prehospital care — this project developed a platform that visualizes data from multiple Edge AI devices. This enables real-time data flow from the ambulance directly into the hospital system.

Frequently asked

Quick answers

What is the cost or price of these devices?

Based on available project data, specific pricing is not mentioned, but the objective states the devices are designed to be cost- and energy-efficient.

Can these devices be produced at an industrial scale?

The consortium includes 8 industry partners and 6 SMEs, suggesting a strong capacity for scaling, though specific production volumes are not listed.

What is the IP or licensing status of the technology?

Based on available project data, there is no specific mention of patents or licensing terms; the project is currently in the development and validation phase.

How do these devices integrate with existing hospital software?

The project includes a Device Hospital Connectivity Platform (DHCP) specifically designed to visualize data and integrate seamlessly with hospital systems and clinical workflows.

What is the timeline for deployment?

The project period runs from 2024-07-01 to 2028-06-30, indicating that full clinical validation and final prototypes will be ready by mid-2028.

Consortium

Who built it

The consortium is heavily weighted toward commercialization, with 8 industry partners (including 6 SMEs) representing a 44% industry ratio. This balance of 3 universities and 5 research centers suggests a strong pipeline from lab to market, supported by a diverse geographic footprint across 11 countries.

How to reach the team

Contact TURUN YLIOPISTO in Finland for partnership opportunities.

Next steps

Talk to the team behind this work.

Contact us to connect with the POC4TRIAGE consortium for early adoption or licensing.

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