Semantic Modelling for Representation and Integration of Health Data from Wearable Devices

The efficient sharing and integration of health-related data are critical objectives in the rapidly developing field of healthcare technology. In order to achieve this, a seamless exchange of health information across different frameworks is needed, promoting interoperability among health data formats, a key factor in the progression of digital health solutions. In this paper, we present our work in defining and implementing a mapping between the Fast Healthcare Interoperability Resources (FHIR) standard and the Open mHealth (OMH) schema, two well-known and widely used solutions for health-related data modeling. We elaborate on key mapping choices that have been made to conceptually align the two paradigms, and we present examples that demonstrate the applicability of our approach. The contribution to the research community is marked by advancements in interoperability and the facilitation of seamless integration across diverse health data formats. Also, the potential impact is significant, offering benefits to both healthcare professionals and the patients under their care.