Ontology Middleware for Integration of IoT Healthcare Information Systems in EHR Systems

Abdullah Alamri

doi:10.3390/computers7040051

Abstract

Healthcare sectors have been at the forefront of the adoption and use of IoT technologies for efficient healthcare diagnosis and treatment. Because healthcare IoT sensor technology obtains health-related data from patients, it needs to be integrated with the electronic healthcare records (EHR) system. Most EHR systems have not been designed for integration with IoT technology; they have been designed to be more patient-centric management systems. The use of the IoT in EHR remains a long-term goal. Configuring IoT in EHR can enhance patient healthcare, enabling health providers to monitor their patients outside of the clinic. To assist physicians to access data resources efficiently, a data model that is semantic and flexible is needed to connect EHR data and IoT data that may help to provide true interoperability and integration. This research proposes a semantic middleware that exploits ontology to support the semantic integration and functional collaborations between IoT healthcare Information Systems and EHR systems.

Highlights

Technological advancements are realizing the vision of interconnected objects as smart objects which can sense each other according to the environment and deliver information to a variety of innovative applications and services [1]
We present existing and emerging ontologies designed for the domain of Internet of Things
We present a small survey of Internet of Things (IoT) architectures/platforms and their applications in the healthcare field

Summary

Introduction

Technological advancements are realizing the vision of interconnected objects (things) as smart objects which can sense each other according to the environment and deliver information to a variety of innovative applications and services [1]. These sensing objects constitute the Internet of Things (IoT). The IoT, as the most advanced trend in internet technologies, has a variety of application domains, including healthcare servicing. It includes biomedical ontologies and terminologies that have been introduced to describe comprehensively a particular domain in medicine. We offer some background information about EHR systems and the components of a semantic ontology knowledge base.

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