Proposed technical architectural framework supporting heterogeneous applications in a hospital

Zarour, Karim

doi:10.1504/ijeh.2016.078740

Cited by 3 publications

(2 citation statements)

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“…Available medical solutions are putting emphasis on data security and data privacy [23] [24]. It is critical to handle the user's data prudently in a secure manner.…”

Section: Solving the Data Privacy Issues For Telemedicinementioning

confidence: 99%

Revolutionizing Healthcare with IoT and Cognitive, Cloud-based Telemedicine

2019

APH

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Telemedicine instruments and e-Health mobile wearable devices are designed to enhance patients' quality of life. The adequate man-and-machine cognitive ecosystem is the missing link for that in healthcare. This research program is dedicated to deliver the suitable solution. This research's goal is the establishment of adaptive informatics framework for telemedicine. This is achieved through the deployed open telemedicine interoperability hub-system. The presented inter-cognitive sensor-sharing system solution augments the healthcare ecosystem through extended interconnection among the telemedicine, IoT e-Health and hospital information system domains. The general purpose of this experiment is building an augmented, adaptive, cognitive and also universal healthcare information technology ecosphere. This study structures the actual questions and answers regarding the missing links and gaps between the emerging Sensor Hub technology and the traditional hospital information systems. The Internet-of-Things space penetrated the personal and industrial environments. The e-Health smart devices are neither widely accepted nor deployed in the ordinary healthcare service. This paper reviews the major technological burdens and proposes necessary actions for enhancing the healthcare service level with Sensor Hub and Internet-of-Things technologies. Hereby we report the studies on varying simplex, duplex, full-duplex, data package-and file-based information technology modalities. We establish with that stable system interconnection among clinical instruments, healthcare systems and eHealth smart devices. Our research is based on the trilateral cooperation comprising the

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“…Available medical solutions are putting emphasis on data security and data privacy [23] [24]. It is critical to handle the user's data prudently in a secure manner.…”

Section: Solving the Data Privacy Issues For Telemedicinementioning

confidence: 99%

Revolutionizing Healthcare with IoT and Cognitive, Cloud-based Telemedicine

2019

APH

View full text Add to dashboard Cite

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“…A recent study has created a general software platform for clinical systems integration of telemedicine instruments [6]. However, these studies cited remain on a theoretical basis.…”

Section: Related Workmentioning

confidence: 99%

A Clinical System Integration Methodology for Bio-Sensory Technology with Cloud Architecture

Garai¹,

Pentek²,

Adamkó³

et al. 2017

Acta Cybern

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Here, we outline the design, implementation, testing and evaluation phases of our bi-directional semantic and syntactic interoperability framework interconnecting traditional healthcare, industrial telemedicine and IoT wearable eHealth-domains. Specifically, our study demonstrates system interoperability among a hospital information system, an industrial telemedicine instrument and an eHealth smart wearable consumer electronic product through the Open Telemedicine Interoperability Hub (OTI-Hub) embedded in a hybrid Cloud architecture. The novelty of this study is the handling of Internet-ofThings smart healthcare devices and traditional healthcare devices through the same Cloud-based solution. This healthcare interoperability solution, service architecture and corresponding software engineering technique bridges technology barriers among the above-mentioned healthcare segments. Standard interoperability solutions exist and have already been described in related literature, but they are not applicable to the IoT healthcare devices and vice versa. Our study goes beyond isolated, individual interoperability solutions and seeks to bridge all major healthcare architecture frameworks including classical, telemedicine and eHealth IoT applications and appliances. This study presents the results of a two-year OTI-Hub Research Program. These experiments are manifestations of a trilateral cooperation among the

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Cognitive Cloud-Based Telemedicine System

Garai

Pentek

Adamkó

2018

Topics in Intelligent Engineering and Informatics

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Proposed technical architectural framework supporting heterogeneous applications in a hospital

Cited by 3 publications

References 0 publications

Revolutionizing Healthcare with IoT and Cognitive, Cloud-based Telemedicine

Revolutionizing Healthcare with IoT and Cognitive, Cloud-based Telemedicine

A Clinical System Integration Methodology for Bio-Sensory Technology with Cloud Architecture

Cognitive Cloud-Based Telemedicine System

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