An Intelligent Edge Computing Based Semantic Gateway for Healthcare Systems Interoperability and Collaboration

Abstract

The use of Information and Communications Technology (ICTs) in healthcare has the potential of minimizing medical errors, reducing healthcare cost and improving collaboration between healthcare systems which can dramatically improve the healthcare service quality. However interoperability within different healthcare systems (clinics/hospitals/pharmacies) remains an issue of further research due to a lack of collaboration and exchange of healthcare information. To solve this problem, cross healthcare system collaboration is required. This paper proposes a conceptual semantic based healthcare collaboration framework based on Internet of Things (IoT) infrastructure that is able to offer a secure cross system information and knowledge exchange between different healthcare systems seamlessly that is readable by both machines and humans. In the proposed framework, an intelligent semantic gateway is introduced where a web application with restful Application Programming Interface (API) is used to expose the healthcare information of each system for collaboration. A case study that exposed the patient's data between two different healthcare systems was practically demonstrated where a pharmacist can access the patient's electronic prescription from the clinic.

Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms

“…Also, the storing of local data by smart devices required high capacity. In addition, for training AI-based advanced algorithm demands enormous data sets, which in turn, impose high computational complexity [155]. Future research needs to tackle this issue by employing an inter-operable mechanism.…”

Energy Efficient Healthcare Monitoring System using 5G Task Offloading

“…This means k would incur the extra overhead in terms of time and energy for transmitting the computation input data via 5G wireless access. In case k offloads Tk via MRRH, the total time duration ( ) can be calculated as transmission time plus time during MEC cloud execution of task Tk (4) Where is the computation ability of the MEC server VM. There are many VMs in the MEC cloud that can process tasks of an application in parallel.…”

“…However, using a smartphone as a healthcare gateway is computer intensive and will drain a lot of energy due to computation and transmission power consumption. This paper is an extension of our previous works in [4] and [5] called IEE5GG, where a 5G and Mobile Edge Computing (MEC) based mobile gateway connected to body sensors was proposed for minimising energy consumption, task failure rate and health service time. The extension in this paper is the introduction of mobile to mobile task offloading using device to device (D2D) communication to argument the gateway processing power and reduce the gateway energy I consumption.…”

Similarity Analyzer for Semantic Interoperability of Electronic Health Records Using Artificial Intelligence (AI)

“…The data of EHR can be shared within different units of hospitals (intra-sharing) or between different units (inter-sharing), between different laboratories and external agencies such as insurance and other research units as shown in Fig. 1 [4].…”

“…Some of the issues that require our attention to achieving complete interoperability of shareable EHR systems are as follow: partial mapping from multiple sources [1]; need of user intervention; setting of standards/guideline; addressing contextual constraints; existence of semantic differences in attributes; platforms for semantic interoperability; ontology mapping [4]; and interpreting medical terminologies [5,6].…”