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.

Know more about AICCELERATE

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

Patient flow
management for
surgical units

Digital care pathway
for Parkinson’s
disease

Pediatric
service
delivery

The hospitals

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

Helsinki University Hospital (Finland)
SJD Barcelona Children's Hospital (Spain)
Bambino Gesù Pediatric Hospital (Italy)
Oulu University Hospital (Finland)
Padua University Hospital (Italy)

AICCELERATE at the Mobile World Congress 2023

Last week we had the opportunity to showcase part of what we are doing in AICCELERATE at our partner’s booth during the Mobile World Congress exhibition in Barcelona. In their corner, Eurecat showcased the digital twins, a cutting-edge technology that is a virtual representation of a real environment, in our case, a hospital. These digital twins we are creating will be part of the pilots’ implementation within the Smart Hospital Care Pathway (SHCP) Engine, the AI-based tool we are developing...

6 / March / 2023

Evondos, a medication dispensing robot that enables a pharmacotherapy follow-up at home

In one of AICCELERATE’s pilots, the user is a Parkinson’s patient at risk of transitioning into an unstable phase of the disease. The aim here is to detect the transition point and improve the care of chronically ill patients by making treatment more individual and timely. Apart from the wearables that monitor patient biometrics, such as sleep or activity, this pilot will be supported by the use of a robot from the company Evondos. The robot, a key element in...

16 / January / 2023

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...

21 / December / 2022

Partners