ODIN

Hospitals must increase their efficiency and productivity and boost quality and safety, while containing and reducing costs. This cannot be an untaught linear reduction. For instance, the number of ICU beds per million of EU habitants was reduced of 75% in the past 30 years, also in response to the unneglectable need to invest on territory healthcare services in response to democratic challenges. This left EU Hospitals completely unprepared to the COVID-19 pandemics, proving that hospital budget cuts must be complemented with major organisational restructuring, making use of innovative technologies. The project has identified 11 hospital critical challenges, which ODIN will face combining robotics, Internet of Things (IoT) and Artificial Intelligence (AI) to empower workers, medical locations, logistics and interaction with the territory. ODIN will deploy technologies along three lines of intervention: empowering workers (AI, cybernetics and bionics), introducing autonomous and collaborative robots and enhancing medical locations with IoT. These areas of intervention will be piloted in six hospitals (in Spain, France, Italy, Poland, The Netherland, Germany), via seven use cases, spanning from clinical to logistic, including patient management, disaster preparedness and hospital resiliency.ODIN pilot will be a federation of multicentre longitudinal cohort studies, demonstrating the safety, effectiveness and cost-effectiveness of ODIN technologies for the enhancement of hospital safety, productivity and quality. Use-case protocols will be approved by the local hospital ethical committees, in order to assure the highest quality of the study, while providing a pragmatic solution for the scaling-up of the ODIN technological solutions and business models in a variety of local ecosystems. ODIN vision is that as Evidence Based Medicine revolutionised medicine with data-driven procedures, so data-driven management (enabled by Industry 4.0 tech) can revolutionise hospital management.

Compliance to current and forthcoming legal framework and standardisation requirements is a prerequisite for innovation sustainability and going to the market. So, WP8 aims to:
• Identify and elaborate upon the legal aspects of using AI, big data in hospital environments, and collaborative robotics, smart care environments with regards to data processing and privacy
• Provide the ODIN Policy, Legal and Ethics framework
• Certification and standardisation initiatives
• Data ethics and public procurement

Reason for applying to HSbooster.eu services

In ODIN, they are in the process of defining the standardisation strategy by combining 2 approaches: 

- The top-down approach, entails analysing relevant standards, taking into consideration on-going standardisation initiatives, with a particular focus on e-health solutions and relevant standardisation committees and organizations. According to its initial analysis, the project has identified 137 standards that could potentially be relevant for the project.

- Bottom-up: In parallel, the project is collaborating with its project partners to explore the standards that are already implemented or under consideration within their organisations. This approach allow us to understand the challenges that they have encountered during the implementation of these standards. Additionally, the project aims to gather feedback on whether there is a need for improved or additional standards. 

The project is applying for a Standardisation Booster service in order to discuss and validate this preliminary strategy. This will involve filtering and prioritising the most suitable standards that contribute to the certification processes and demonstrate compliance with the GDPR. They would also like to explore avenues for their project to contribute to the creation of new standards or the improvement of existing ones. HSbooster's input and expertise in this discussion are vital for refining its approach and selecting the standards that align best with its project goals.