Artificial Intelligence to boost hospital care to the future

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 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

AICCELERATE project newsletter. Issue #2

AICCELERATE project’s newsletter released this month its second issue. Didn’t receive it? You can read it here. We will send a new issue with relevant information and advances every 6 months. If you don’t want to miss a thing, don’t forget to subscribe here!  

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18 / April / 2022
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An intelligent digital service that will improve the care of Parkinson’s disease

In the coming months, Helsinki University Hospital (HUS) will pilot an intelligent digital service for patients and clinicians that will improve the care of Parkinson’s disease, optimising also the use of healthcare professionals’ resources. The aim is to transfer the follow-up of chronic disease to a normal living environment and provide decision-supporting tools to clinicians for early recognition of deterioration or progression. On the occasion of International Parkinson’s day this month, we have interviewed Laura Mäkitie, one of the neurologists...

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7 / April / 2022
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Functional requirements definition process

During the first year of the project (2021), the five clinical partners worked hard to produce the Functional Requirements specifications. These aim to describe the core consortium clinical partners’ practical challenges and recognize opportunities, which form the basis of the Smart Hospital Care Pathway Engine AI solution development. The Functional Requirements document defines justified target states for information technology (IT), artificial intelligence (AI) and robotics partners. Technical partners can then define their AI solution technical requirements to match the concrete...

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1 / March / 2022
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