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ICGrid: enabling intensive care medical research on the EGEE Grid
Harald Gjermundrød1, Marios D Dikaiakos, Demetrios Zeinalipour-Yazti
1Department of Computer Science, University of Cyprus, 1678 Nicosia, Cyprus.
Studies in Health Technology and Informatics
|May 4, 2007
Summary
ICGrid is a novel system framework for Intensive Care Units (ICUs) that integrates patient data using Grid technology. This system facilitates seamless data retrieval and analysis for clinicians, improving healthcare information systems.
Area of Science:
- Healthcare Information Systems
- Grid Computing
- Intensive Care Medicine
Background:
- Intensive Care Units (ICUs) are highly technological environments generating vast amounts of real-time patient data.
- Managing and analyzing terabytes of streaming data presents a significant challenge for physicians.
- Existing healthcare information systems struggle with real-time data integration and retrieval across multiple ICUs.
Purpose of the Study:
- To present the system architecture and early experiences of ICGrid, a novel framework for ICUs.
- To enable seamless integration, correlation, and retrieval of clinically relevant data across ICUs.
- To leverage Grid technology for efficient data management and sharing in critical care settings.
Main Methods:
- Development of ICGrid, a hybrid system combining heterogeneous patient monitors and Grid technology.
- Utilization of the EGEE (Enabling Grids for E-sciencE) infrastructure for data storage, processing, and sharing.
- Implementation of intuitive user interfaces for clinicians to access the EGEE infrastructure.
Main Results:
- Successful integration of patient monitoring data through a hybrid architecture.
- Demonstrated feasibility of using Grid technology for real-time data processing and sharing across ICUs.
- Early experiences indicate ICGrid's potential for improved data accessibility and analysis in critical care.
Conclusions:
- ICGrid offers a robust solution for managing and analyzing large-scale, real-time data streams in ICUs.
- The system enhances clinical decision-making by providing seamless access to integrated patient information.
- Leveraging Grid infrastructure significantly improves data replication, fault tolerance, and sharing capabilities in healthcare information systems.
