Scientific and Innovation objectives that focus on the research to deliver a rigorous and self-standing methodology to drive the implementation and define its operational principles:

  • To successfully tackle the interlinking, semantic enrichment, data improvement, facilitating and boosting data interoperability across multiple physical and digital healthcare platforms and associated technologies, promoting data sharing, assets reuse and, through these, business value generation.
  • To establish a benchmarking mechanism through the design of a benchmarking framework for Innovative AI-based systems providers, targeting end-goals in terms of productivity and sustainability performance of services, technologies and practices based on a set of KPIs that are relevant to the healthcare sector.