A Knowledge Editing Service for Multisource Data Management in Remote Health Monitoring

Remote Health Monitoring (RHM) programmes are being increasingly developed to face the pervasive diffusion of chronic diseases. RHM strongly relies on ICT intelligent platforms devised to remotely acquire multisource data, process these according to specific domain knowledge and support clinical decision making. However, since RHM domain is continuously evolving and the pertinent knowledge is not yet consolidated, there is a great demand for services and tools that allow the encoded knowledge to be modified and enriched. This paper presents a Knowledge Editing Service (KES), which aims at enabling clinicians to insert novel knowledge, in a controlled fashion, into an ICT intelligent platform. The solution proposed is innovative since it addresses synergistically peculiar issues related to (i) RHM knowledge format; (ii) controlled editing patterns; (iii) knowledge verification and (iv) cooperative knowledge editing. None of the existing methods and systems for knowledge authoring tackles all these aspects at the same time. A prototype of the KES has been implemented and evaluated in real operational conditions.