AICCELERATE project scales up AI-enabled digital solutions for hospitals
"The proposal preparation would have been difficult without Spinverse's support. Their expertise in EU project building and in setting up an international consortium was instrumental in our success."
Suzan Ikävalko, Research and Innovation Manager, Helsinki University Hospital (HUS).
Customer story in numbers
The AICCELERATE project introduces an approach for scaling up AI-enabled digital solutions for different hospital use cases. AICCELERATE will further develop partners’ existing digital solutions to enable the development of a Smart Hospital Care Pathway (SHCP) Engine. The project consortium is led by Helsinki University Hospital (HUS).
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.
How we reached the goals
Spinverse supported in the building of the consortium and helped it to prepare the winning project proposal in the highly competitive Horizon 2020 call, where only four proposals out of a total 80 submitted were granted funding.
The goal of the project is to demonstrate the scalability of the AI solutions for different types of hospital use cases.