ICGrid: Enabling intensive care medical research on the EGEE grid

Harald Gjermundrød, Marios D. Dikaiakos, Demetrios Zeinalipour-Yazti, George Panayi, Theodoros Kyprianou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Healthcare 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.

Original languageEnglish
Title of host publicationFrom Genes to Personalized HealthCare
Subtitle of host publicationGrid Solutions for the Life Sciences - Proceedings of HealthGrid 2007
Pages248-257
Number of pages10
Volume126
Publication statusPublished - 2007
Event5th Conference of the HealthGrid Association, HealthGrid 2007 - Geneva, Switzerland
Duration: 24 Apr 200727 Apr 2007

Other

Other5th Conference of the HealthGrid Association, HealthGrid 2007
Country/TerritorySwitzerland
CityGeneva
Period24/04/0727/04/07

Keywords

  • EGEE
  • Grid Computing
  • Intensive Care Medicine

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