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dc.contributor.authorGjermundrød, H.en
dc.contributor.authorDikaiakos, Marios D.en
dc.contributor.authorZeinalipour-Yazdi, Constantinos D.en
dc.contributor.authorPanayi, G.en
dc.contributor.authorKyprianou, T.en
dc.creatorGjermundrød, H.en
dc.creatorDikaiakos, Marios D.en
dc.creatorZeinalipour-Yazdi, Constantinos D.en
dc.creatorPanayi, G.en
dc.creatorKyprianou, T.en
dc.date.accessioned2019-11-13T10:40:16Z
dc.date.available2019-11-13T10:40:16Z
dc.date.issued2007
dc.identifier.isbn978-1-58603-738-3
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54038
dc.description.abstractHealthcare Information Systems are nowadays among the world's largest, fastest-growing and most information intensive industries. Additionally, Intensive Care Units are widely considered as the most technologically advanced environments within a hospital. In such environments, physicians are confronted with the challenge of storing and analyzing terabytes of data that stream in real-time from inpatients to centralized clinical information systems. In this paper we present the system architecture and early experiences from ICGrid (Intensive Care Grid), a novel system framework that enables the seamless integration, correlation and retrieval of clinically interesting episodes across Intensive Care Units, by utilizing the EGEE infrastructure. ICGrid is based on a hybrid architecture that combines i) a heterogeneous set of monitors that sense the inpatients and ii) Grid technology that enables the storage, processing and information sharing task between Intensive Care Units. ICGrid makes it feasible for doctors to utilize the EGEE Infrastructure through simple, intuitive user interfaces, while the infrastructure itself handles the complex task of information replication, fault tolerance and sharing.en
dc.sourceStudies in Health Technology and Informaticsen
dc.source5th Conference of the HealthGrid Association, HealthGrid 2007en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-34548556655&partnerID=40&md5=d8d13ba68d1911fb6a6d11d93fdabb64
dc.subjectCyprusen
dc.subjectarticleen
dc.subjecthumanen
dc.subjectHumansen
dc.subjectmedical researchen
dc.subjectBiomedical Researchen
dc.subjectintensive careen
dc.subjectmedical informaticsen
dc.subjectEGEEen
dc.subjectGrid Computingen
dc.subjectIntensive Care Medicineen
dc.titleICGrid: Enabling intensive care medical research on the EGEE griden
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.description.volume126
dc.description.startingpage248
dc.description.endingpage257
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Cited By :4</p>en
dc.contributor.orcidZeinalipour-Yazdi, Constantinos D. [0000-0002-8388-1549]
dc.contributor.orcidDikaiakos, Marios D. [0000-0002-4350-6058]
dc.gnosis.orcid0000-0002-8388-1549
dc.gnosis.orcid0000-0002-4350-6058


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