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HosmartAI – Hospital Smart development based on AI

The project is funded under European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No 101016834). The consortium is composed of 24 partners (including 3 large enterprises, 8 SMEs, 5 hospitals [in Slovenia, Italy, Spain, Belgium, and Greece], 4 universities, 2 research centres, and 2 associations).

HosmartAI proposes to boost a strong, efficient, sustainable, and resilient European healthcare system. The project aims to ensure the integration of existing digital and robotic technologies in new healthcare environments and the possibility to analyse their benefits by providing an environment in which providers of digital healthcare and care tools will be able to design and develop AI solutions, as well as a space for the establishment and deployment of these solutions.

HosmartAI will continually involve users and other stakeholders within a co-creation methodology to have continuous feedback, with the aim to make the best answers available for the various challenges that the European health system is encountering today and increasingly in the future.

Eight large-scale pilot projects will implement and evaluate improvements in medical diagnosis, surgical interventions, disease prevention and treatment, and rehabilitation and long-term care support in various hospitals and care settings. The project will target differentiated medical aspects and manifestations such as Cancer, Gastrointestinal disorders, Cardiovascular diseases, Thoracic Disorders, Neurological diseases, Elderly Care and Neuropsychological Rehabilitation, Fetal Growth Restriction, and Prematurity.

In this project, HOPE engages with external stakeholders, mainly hospital-based AI experts, to request advice for the eight pilots. We do this through workshops and tailored webinar sessions. In addition, we support the communications and dissemination work package leaders.

Do you want to know more and be part of it? Follow our social media (Twitter and LinkedIn) and visit the project website!

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 101016834.