Point-of-Care Devices for Urgent Care Triage

Acronym

POC4TRIAGE

Description of the granted funding

Cardiorespiratory diseases and stroke are among the top four leading causes of death in the EU in prehospital settings. Urgent care services are in huge need of novel Point of care (POC) computing technologies that can specifically detect patient condition and enable Hospital information system (HIS) with real-time data for triaging patients for right care. Our goal in POC4TRIAGE is to develop robust and accurate POC technologies, from POC testing (devices) to POC systems (platform) that is capable of fast diagnosis and efficient transfer of data to HIS. We will develop and clinically validate four rapid (<10 min) easy-to-use, compact, cost- and energy-efficient POC devices with Edge AI computing models, to be used in ambulance & emergency room settings. POC4TRIAGE devices include a multimodal patch for real-time monitoring of cardiorespiratory data, novel sub-hairline non-invasive EEG based head caps for rapid stroke diagnosis, including detection of large vessel occlusion stroke, and a handheld, rapid immunodetector to diagnose stroke with clinical utility for various conditions. These devices integrate into a new Device Hospital Connectivity Platform (DHCP) that visualizes data, uses AI from multiple devices to triage and seamlessly integrates with hospital systems and clinical workflows. The POC devices and DHCP will be clinically validated. POC4TRIAGE brings together some of Europe's leading POC device developers, medical professionals and clinicians, patient representatives, ethics experts, data scientists, and health economists. POC4TRIAGE will shorten the time to treatment and improve clinical outcome. POC4TRIAGE has potential to revolutionize healthcare delivery, making it more accessible and efficient, traceable, and interpretable for patients and providers alike. As the POC device and computation market is growing fast, the new POC devices, real-time data analysis, and secure computing have potential for major economic impact.
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Starting year

2024

End year

2028

Granted funding

697 500 €
Participant
1 276 875 €
Coordinator
ALLM EMEA GMBH (DE)
357 875 €
Participant
LUPISE (FR)
337 942.5 €
Participant
TRIANECT BV (NL)
499 450 €
Participant
NEC ITALIA SPA (IT)
91 706.13 €
Participant
ARS ACCESSUS MEDICA BV (NL)
350 000 €
Participant
ICTERRA BILGI VE ILETISIM TEKNOLOJILERI SANAYI VE TICARET ANONIM SIRKETI (TR)
400 225 €
Participant
NEC LABORATORIES EUROPE GMBH (DE)
286 944 €
Participant
STICHTING VUMC (NL)
973 783.75 €
Participant
FUNDACIO EURECAT (ES)
719 000 €
Participant
FONDAZIONE EBRIS (IT)
400 000 €
Participant
ORGANIC ELECTRONICS SAXONY MANAGEMENT GMBH (DE)
359 922.5 €
Participant
UPPSALA LANS LANDSTING (SE)
500 187.5 €
Participant
FUNDACIO HOSPITAL UNIVERSITARI VALL D'HEBRON - INSTITUT DE RECERCA (ES)
672 750 €
Participant
STROKE ALLIANCE FOR EUROPE (BE)
88 500 €
Participant
AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH (AT)
713 933.75 €
Participant
BEN-GURION UNIVERSITY OF THE NEGEV (IL)
716 000 €
Participant

Amount granted

9 442 595 €

Funder

European Union

Funding instrument

HORIZON Innovation Actions

Framework programme

Horizon Europe (HORIZON)

Call

Programme part
Health (11673)
Tools, Technologies and Digital Solutions for Health and Care, including personalised medicine (11693)
Topic
Harnessing the potential of real-time data analysis and secure Point-of-Care computing for the benefit of person-centred health and care delivery (HORIZON-HLTH-2023-TOOL-05-05)
Call ID
HORIZON-HLTH-2023-TOOL-05

Other information

Funding decision number

101137358

Identified topics

cardiovascular diseases