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AI Accelerator – A Smart Hospital Care Pathway Engine

Project description

Patient empowerment and evidence-based trust towards AI

Improving patient care and efficiency of hospital operations has become a priority for all healthcare providers. Advancements in AI can help by simplifying the lives of patients, doctors and hospital administrators. In this context, the EU-funded AICCELERATE project has brought together specialists in IT, machine learning, robotics, neurology, paediatrics and surgery from around Europe to develop an approach for scaling up AI-enabled digital solutions for different hospital use cases. Specifically, it will enable the development of a Smart Hospital Care Pathway Engine. Serving as a toolset for AI models, it will be tested in three pilots carried out by five hospital partners.

Objective

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.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

IA - Innovation action

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Call for proposal

(opens in new window) H2020-DT-2018-2020

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Coordinator

HUS-YHTYMA
Net EU contribution
€ 964 958,74
Address
STENBACKINKATU 9
00029 Helsinki
Finland
Region
Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa
Activity type
Research Organisations
Links
Total cost
€ 964 958,75

Participants (17)