HosmartAI – Hospital Smart development based on AI
The project was funded under European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No 101016834). The consortium was 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 proposed to boost a strong, efficient, sustainable, and resilient European healthcare system. The project aimed 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 continually involved 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 were implemented and evaluated 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 engaged with external stakeholders, mainly hospital-based AI experts, to request advice for the eight pilots. We did this through workshops and tailored webinar sessions. In addition, we supported the communications and dissemination work package leaders.
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 101016834.