Artificial Intelligence to boost hospital care to the future

Healthcare systems lack flexible AI solutions that allow hospitals to improve efficiency and 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 ensure better adoption of AI in healthcare.

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AICCELERATE will develop partners’ existing digital solutions further working mainly in three concrete pilots that will be carried out in 5 hospitals

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Patient flow
management for
surgical units

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Digital care pathway
for Parkinson’s
disease

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Pediatric
service
delivery

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The hospitals

Five European hospitals will test these pilots with their users to prove the scalability of the SHCP Engine

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    Helsinki University Hospital (Finland)

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    SJD Barcelona Children's Hospital (Spain)

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    Bambino Gesù Pediatric Hospital (Italy)

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    Oulu University Hospital (Finland)

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    Padua University Hospital (Italy)

Latest News

Open access publication: An AI-enhanced care pathway planning and scheduling system

It is clear that Artificial intelligence (AI) is transforming the optimization of clinical and patient workflows in healthcare. But there is a need for research to specify clinical requirements for those systems to improve human-AI interaction in machine learning applications. Our partners from OYS, worked hard jointly with the five clinical partners during the first year of the project to produce the Functional Requirements specifications for our Smart Hospital Care Pathway Engine. These aimed to describe the core consortium clinical...

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21 / December / 2022
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AICCELERATE at the Smart City Expo Word Congress in Barcelona

Our partners from Nuromedia presented the AICCELERATE project during the Smart City Expo World Congress showcasing how artificial intelligence can facilitate healthcare delivery. The project is set to transform healthcare through data-driven learning and investments in innovative technology, and it focuses on increasing the efficiency of clinical decisions using artificially intelligent systems that are able to understand complex medical information by analyzing large datasets collected from patients’ visits, treatments, or research centers. The exhibition aimed to raise public awareness about...

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1 / December / 2022
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Patients’ and neurologists’ preferences for remote monitoring and AI to improve Parkinson’s disease management

In early November, our partners from Erasmus University attended the ISPOR Europe conference in Vienna. During the conference, they had the opportunity to present research findings for patients’ and neurologists’ preferences for remote patient monitoring and Artificial Intelligence to improve Parkinson’s disease management. The research was a result of the collaboration of the AICCELERATE Pilot 2 working group, where they explored through interviews, in Finland and Italy, patients’ and neurologists’ preferences for AI-enhanced remote monitoring in the treatment of the...

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21 / November / 2022
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