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All Journal Emerging Science Journal
Argyro Mavrogiorgou
Department of Digital Systems, University of Piraeus, Piraeus, 18534,
Environmental Science

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Journal : Emerging Science Journal

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Internet of Medical Things (IoMT): Acquiring and Transforming Data into HL7 FHIR through 5G Network Slicing Argyro Mavrogiorgou; Athanasios Kiourtis; Marios Touloupou; Evgenia Kapassa; Dimosthenis Kyriazis
Emerging Science Journal Vol 3, No 2 (2019): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1024.802 KB) | DOI: 10.28991/esj-2019-01170

Abstract

The Healthcare 4.0 era is surrounded by challenges varying from the Internet of Medical Things (IoMT) devices’ data collection, integration and interpretation. Several techniques have been developed that however do not propose solutions that can be applied to different scenarios or domains. When dealing with healthcare data, based on the severity and the application of their results, they should be provided almost in real-time, without any errors, inconsistencies or misunderstandings. Henceforth, in this manuscript a platform is proposed for efficiently managing healthcare data, by taking advantage of the latest techniques in Data Acquisition, 5G Network Slicing and Data Interoperability. In this platform, IoMT devices’ data and network specifications can be acquired and segmented in different 5G network slices according to the severity and the computation requirements of different medical scenarios. In sequel, transformations are performed on the data of each network slice to address data heterogeneity issues, and provide the data of the same network slices into HL7 FHIR-compliant format, for further analysis.
A Comparative Study of Bluetooth SPP, PAN and GOEP for Efficient Exchange of Healthcare Data Athanasios Kiourtis; Argyro Mavrogiorgou; Dimosthenis Kyriazis
Emerging Science Journal Vol 5, No 3 (2021): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01276

Abstract

Objectives: Current research aims to address the challenges of exchanging healthcare information, since when this information has to be shared, this happens by specifically designed medical applications or even by the patients themselves. Among the problems that the Health Information Exchange (HIE) initiative is facing are that (i) third party health data cannot be accessed without internet, (ii) there exist crucial delays in accessing citizens’ data, (iii) the direct HIE can only happen among Healthcare Institutions. Methods: Towards the solution of these issues, a Device-to-Device (D2D) protocol has been specified, running on top of the Bluetooth protocol for efficient data exchange. This research is focused on this D2D protocol, by comparing the different Bluetooth profiles that can be used for transmitting this data, based on specific metrics considering the probabilities of transferring erroneous data. Findings: An evaluation of three Bluetooth profiles takes place, concluding that two of the three profiles must be used to respect the D2D protocol nature and be fully supported by the main market vendors’ operating systems. Novelty:Based on this evaluation, the specified D2D protocol has been built on top of state-of-the-art short-range distance communication technologies, fully supporting the healthcare ecosystem towards the HIE paradigm. Doi: 10.28991/esj-2021-01276 Full Text: PDF
Co-Authors Athanasios Kiourtis Dimosthenis Kyriazis Evgenia Kapassa Marios Touloupou