Expected Outcome:
- Deployment of an interoperable and secure federated infrastructure for trusted ICU datasets in the EU, and linked to AI resources, with established interoperable links to other federated European data infrastructures, such as on cancer-imaging and genomics.
- Secure and interoperable platform for aggregation of ICU datasets for secondary analysis and development of toolsets on relevant datasets for different treatment types useful for developing clinically relevant AI algorithms for specific use cases, including test and training data sets ("atlas" of anonymized Acute Care cases);
- Computational modelling tools for individual ICU patient patho-physiology simulation and analysis using ICU related clinical information (including decision-support tools), clinical consultation, collaboration and monitoring, that are fully interoperable.
- Platform and mechanisms to exchange best clinical practice and adapted analysis and training datasets, also in case of an emerging health threat event, such as a pandemic.
- User Interface front-end module or system at the workforce level operational in minimum four EU languages. Design development in co-creation with the workforce with demonstrated improvement of provision of care: processes, documentation, quality control including new, adapted or extended ICU data sources including annotation, voice recognition, integrated datasets.
- A sustainable operational coordination and governance structure, open to the involvement of new stakeholders, including capacity building measures necessary
