Intelligent plug-and-play digital tool for real-time surveillance of COVID-19 patients and smart decision-making in Intensive Care Units
Acronym
ENVISION
Description of the granted funding
Within only six months, over 7.4 million people have been diagnosed with SARS-CoV-2. In the most severely hit countries, more than 10% of infected patients have received treatment in Intensive Care Units (ICUs). Insufficient data and limited knowledge on the disease as well as the lack of tools to support the intensivist in making accurate, timely and informed decisions has led to high mortality rates.
Continuous surveillance, the collection and intelligent analysis of data from many sources, including ventilators and electrical impedance tomography, would allow intensivists to decide on the best suitable treatment to accelerate the recovery of the often comorbid COVID-19 patients, while reducing the burden on clinical staff and healthcare costs. This information would also increase our understanding of the yet unknown course of disease, supporting other stakeholders in the quest for new therapies.
In ENVISION, our multidsciplinary public-private consortium will advance an innovative digital tool, Sandman.MD, a real-time and plug-and-play monitoring app, to an intelligent decision-support system for monitoring, prediction and treatment of COVID-19 patients in ICUs – the Sandman.ICU – reaching Technology Readiness Level 9 and ready for CE marking by the end of the project. The app has been developed by our SME partner app@work and successfully introduced by several hospitals in Germany for use during the perioperative period. Sandman.ICU will be integrated into an AI-driven data analytics suite with predictive modelling tools and enhanced with a smart alert functionality. The digital tool will be validated and demonstrated in 14 hospitals across Europe. Our Health Technology Assessment expert partner will demonstrate the economic and societal value of Sandman.ICU, while an experienced SME will manage the innovation process in view of an immediate market uptake. The rollout will be supported by the European Society of Anaesthesiology and Intensive Care.
Show moreStarting year
2020
End year
2023
Granted funding
IDA SMART DIGITAL SOLUTION GMBH (DE)
402 091.61 €
Participant
ACCELOPMENT DEUTSCHLAND GMBH (DE)
148 400 €
Participant
LOWENSTEIN MEDICAL INNOVATION GMBH & CO KG (DE)
980 875 €
Participant
APPATWORK GMBH (DE)
767 375 €
Participant
INTELLIGENT DATA ANALYTICS GMBH & CO KG (DE)
79 595.89 €
Participant
SPITALUL CLINIC JUDETEAN DE URGENTA PIUS BRINZEU TIMISOARA (RO)
90 000 €
Participant
LIETUVOS SVEIKATOS MOKSLU UNIVERSITETO LIGONINE KAUNO KLINIKOS (LT)
115 000 €
Participant
CENTRO HOSPITALAR E UNIVERSITARIO DE COIMBRA E.P.E. (PT)
115 000 €
Participant
DEL-PESTI CENTRUMKORHAZ-ORSZAGOS HEMATOLOGIAI ES INFEKTOLOGIAI INTEZET (HU)
90 000 €
Participant
UNIVERSITY COLLEGE LONDON HOSPITALSNHS FOUNDATION TRUST (UK)
140 000 €
Participant
EUROPEAN SOCIETY OF ANAESTHESIOLOGY AISBL (BE)
167 500 €
Participant
ACCELOPMENT SCHWEIZ AG (CH)
223 912.5 €
Participant
INSTITUT CATALA DE LA SALUT (ES)
115 000 €
Participant
Univerzitetni klinicni center Maribor (SI)
102 500 €
Participant
UNIVERSITA DEGLI STUDI DI PERUGIA (IT)
102 500 €
Participant
SEMMELWEIS EGYETEM (HU)
90 000 €
Participant
UNIVERSITA DEGLI STUDI DI TORINO (IT)
102 500 €
Participant
UNIVERSITATEA DE MEDICINA SI FARMACIE CAROL DAVILA DIN BUCURESTI (RO)
90 000 €
Participant
UNIVERZITETNI KLINICNI CENTER LJUBLJANA (SI)
102 500 €
Participant
KLINIKUM DER UNIVERSITAET REGENSBURG (DE)
26 250 €
Participant
ACADEMISCH ZIEKENHUIS GRONINGEN (NL)
209 500 €
Participant
JOHANN WOLFGANG GOETHE-UNIVERSITATFRANKFURT AM MAIN (DE)
1 055 236.25 €
Coordinator
Amount granted
4 874 111 €
Funder
European Union
Funding instrument
Innovation action
Framework programme
Horizon 2020 Framework Programme
Call
Programme part
Health (5290Topic
Medical technologies, Digital tools and Artificial Intelligence (AI) analytics to improve surveillance and care at high Technology Readiness Levels (TRL) (SC1-PHE-CORONAVIRUS-2020-2BCall ID
H2020-SC1-PHE-CORONAVIRUS-2020-2-CNECT Other information
Funding decision number
101015930
Identified topics
covid, pandemic, vaccines