
Ecosystem Digital Twins in Healthcare
The Ecosystem Digital Twin in Health (EDITH) will agree on a roadmap with the European stakeholders and build a federated repository connecting existing digital twin initiatives in healthcare.
The use of digital twins in healthcare (DTH) is rapidly increasing. A digital twin is a virtual representation of an object or system that spans its lifecycle, which needs a continuous and real-time coupling between the digital and physical world to help decision-making.
The wide-ranging potential of digital twin applications combined with an increase in digital technologies, high-performance computing availability and access to research and healthcare data have generated a variety of opportunities and resources including models, data, methods, etc. Digital twins can be used to improve healthcare organisations by driving efficiency, optimising operational performance and enhancing both the customer (patient) and caregiver experiences.
With EDITH, stakeholders will be able to exchange best practices, analyse the ecosystems and data flows, and identify vulnerabilities — ultimately agreeing on a roadmap for future development.
Objectives
- Mapping of the current ecosystem for digital twins in healthcare: including relevant actors and initiatives in the DTH space as well as the available resources (models, data sets, methods, infrastructures and DT-based solutions and services).
- Developing a roadmap toward Human Digital Twin (HDT): the budding ecosystem will be leveraged to generate a roadmap for accelerating the uptake of the DTH-based solutions and their further integration into the Human Digital Twin
- Implementing a federated cloud-based repository: allowing to catalogue available resources and render them available to the ecosystem. Designing a simulation platform: fostering the transition towards a comprehensive HDT and providing users with a one-stop shop to design, develop, test and validate DTH
The EDITH project is funded by the European Commission under the Digital Europe Programme (DIGITAL) and DIGITALEUROPE is leading on future business models and the sustainability of the platform.
Virtual Physiological Human Institute for Integrative Biomedical Research
Akademia Gorniczo-Hutnicza Im. Stanislawa Staszica w Krakowie
Queen Mary University of London
Vlaamse Instelling voor Technologisch Onderzoek N.V.
Alma Mater Studiorum – Universita di Bologna
DIGITALEUROPE
Institut National De Recherche en Informatique et Automatique


