Abstract
The development of information and telecommunication technologies has given rise to new platforms for e-Health. However, some difficulties have been detected since each manufacturer implements its communication protocols and defines their data formats. A semantic incongruence is observed between platforms since no common healthcare domain vocabulary is shared between manufacturers and stakeholders. Despite the existence of standards for semantic and platform interoperability (e.g. openEHR for healthcare, Semantic Sensor Network for Internet of Medical Things platforms, and machine-to-machine standards), no approach has combined them for granting interoperability or considered the whole integration of legacy Electronic Health Record Systems currently used worldwide. Moreover, the heterogeneity in the large volume of health data generated by Internet of Medical Things platforms must be attenuated for the proper application of big data processing techniques. This article proposes the joint use of openEHR and Semantic Sensor Network semantics for the achievement of interoperability at the semantic level and use of a machine-to-machine architecture for the definition of an interoperable Internet of Medical Things platform.
Highlights
Over the past years, the technological development has led to a continuous redefinition of daily life
We considered Sensor Measurement Lists (SenML) a mature standard, and Internet of Things (IoT)-related studies conducted by Su et al.,[34] Fan et al.,[35] Datta and Bonnet,[36] and Datta et al.[37] validate its relevance for the standardization of heterogeneous data sources
This article has presented an Internet of Medical Things (IoMT) platform that relies on Semantic Web Concepts and M2M communications to simplify and standardize the development and integration of healthcare systems
Summary
The technological development has led to a continuous redefinition of daily life. Healthcare systems are based on Electronic Health Records (EHR), which store patients’ clinical history and hospital administrative data, but ignore the existence of IoMT platforms and integration with them Standards, such as OpenEHR,[7,8] have been proposed for the definition of EHR models according to a unified medical vocabulary, while others, as HL7,9 have been developed for the exchange of records between different institutions.[10]. We aim at sharing data openly and not among healthcare institutions, in a context of smart city applications (for example) In this sense, the use of ontologies, rather than an API-based architecture, seems to be advantageous since semantic web-based solutions (e.g. based on Linked data) have been widely accepted and a large number of tools focuses on it. For an e-Health application, the M2M devices (similar to IoMT devices) sense the different parameters of the patients or their environments and forward the data to the final applications at the top layer of the M2M architecture through M2M Gateways that enable the integration of medical sensors to the platform
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