Human Digital Twin for Healthcare Applications: a White Label Digital Twin Implementation

The concept of digital twin has become a pillar of healthcare research over the last decade. By mirroring real systems through a range of functionalities–from tracking the state of physical assets to providing cognitive services–it enables real-time analyses, thereby supporting informed decision-making.In this paper we are specifically interested in the human digital twin as one of the main component into the personalised healthcare framework. Even though literature is full of examples discussing this issue, a unified reference model and supporting technology are still lacking. As a result, a substantial gap remains between theoretical developments and practical implementation, with real-world applications still limited.Accordingly, this paper presents a human digital twin model, along with a practical implementation on the White Label Digital Twin platform, designed to be compliant to the reference standards and general enough to be specified and instantiated for different healthcare domains. As a proof of concept, we present an application in the context of hypertensive patient care where data are acquired from two different data sources and integrated into a unique standardised model.