Objetivo
COVID-X will bridge the collaboration divide between eHealth solution providers -with emphasis on lean startups and small and medium-sized enterprises (SMEs)-, and the healthcare professional system to fight COVID-19. The purpose is to boost an end-to-end agile validation programme of cutting-edge technology in three real-world clinical scenarios, located in hotspots of the pandemic: Italy, Spain and Sweden.
The project will fast-track value streams between the two poles under consideration: 1) attract, invest and empower a community of European eHealth SMEs –the beneficiaries of an acceleration program, selected by open calls- that will provide market-ready fast, cost-effective and easily deployable sampling, screening, diagnostic and prognostic systems and/or data-driven services and tools, already certified with -or close to receive- the CE marking (type 1 of the call); 2) actively involve some of the most relevant hospitals of Europe that have the resources, critical mass and ambition to scale-up their capabilities in the COVID-19 response; thanks to the support of an innovative data sandbox, released as an in-house asset of COVID-X, to facilitate access easily, uniformly and securely to various health data sources, and providing data services including Artificial Intelligence (AI)-based decision support systems, data security, visual analytics and intuitive dashboards capabilities. The project will invest dedicated efforts to enforce data privacy and security, ethical compliance and user acceptance.
Besides a solid consortium to access world class startups/SMEs, deliver highly valuable technological & business services, provide an innovative data Sandbox with AI capabilities for COVID related services and access 3 piloting sites, COVID-X targets to attract +155 applications and select 31 to undertake through the COVID-X Programme, investing a total of €4.0mil in high impact solution providers.
Ámbito científico
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
- natural sciencescomputer and information sciencesartificial intelligence
- medical and health scienceshealth scienceshealth care serviceseHealth
- natural sciencescomputer and information sciencescomputer securitydata protection
- medical and health scienceshealth sciencespublic healthepidemiologypandemics
- medical and health scienceshealth sciencesinfectious diseasesRNA virusescoronaviruses
Palabras clave
Programa(s)
Convocatoria de propuestas
H2020-SC1-PHE-CORONAVIRUS-2020-2
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SC1-PHE-CORONAVIRUS-2020-2-CNECT
Régimen de financiación
IA - Innovation actionCoordinador
D02 XE80 LOWER DUBLIN
Irlanda
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.