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AICCELERATE

financed

Closed

AI Accelerator A Smart Hospital Care Pathway Engine

Healthcare systems lack flexible AI solutions that allow hospitals to improve efficiency and the quality of patient care. Current solutions provide limited scalability and are confined to isolated applications. Scalable models tha... see more

30/04/2024

HUS

11M€

Project Budget: 11M€

Project leader

HUSYHTYMA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 19 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2024-04-30

DT-ICT-12-2020: Boost rural economies through cross...

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Cerrada does 11 months

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

19 Participantes

HUS

964.96K€ | Leader

PLASTICOS ERUM

208.02K€ | participant

SRDC

510.65K€ | participant

EURO-BIOIMAGING ERIC

763.00K€ | participant

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Project duration: 40 months Date Start: 2020-12-15
End date: 2024-04-30

Project leader

HUSYHTYMA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 11M€

participation deadline Sin fecha límite de participación.

Project description Healthcare systems lack flexible AI solutions that allow hospitals to improve efficiency and the quality of patient care. Current solutions provide limited scalability and are confined to isolated applications. Scalable models that address data sharing, integration, privacy, and ethics are needed to to ensure better adoption of AI in healthcare. The AICCELERATE project introduces an approach for scaling up AI-enabled digital solutions for different hospital use cases. AICCELERATE will develop partners’ existing digital solutions further to enable the development of a Smart Hospital Care Pathway (SHCP) Engine. This engine serves as a toolset for AI models and robotics to improve quality of care and health outcomes. It will also enable lean management and effective decision-making. These tools are tested in three pilots that (will) provide feedback for improving the SHCP Engine: (i) patient flow management for ER and surgical units, (ii) digital care pathway for Parkinson’s disease, and (iii) paediatric service delivery. AICCELERATE provides an adaptable model for varied clinical use cases to enhance patient-centric digital care pathways and to optimize patient flow management. Patient empowerment and evidence-based trust towards AI is a key part of the project. The pilots are carried out by 5 hospital partners: Helsinki Univ. Hospital and Oulu Univ. Hospital in Finland, Ospedale Pediatrico Bambino Gesù in Italy, Barcelona Children's Hospital in Spain, and Univ. hospital Università degli Studi di Padova in Italy. The other partners of the consortium consist of; Erasmus Univ. Rotterdam from Netherlands, a RTO Fundació Eurecat from Spain, a Spanish non-profit TICBioMed, 6 SMEs aiming to advance the digitalization of the European healthcare services: Chino from Italy, Symptoma from Austria, Nuromedia from Germany, SRDC from Turkey, Evondos from Finland, NeuroPath from Belgium, and 2 large enterprises NEC Laboratories Europe from Germany and Innofactor from Finland.

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