IMENSE: an e-infrastructure environment for patient specific multiscale data integration, modelling and clinical treatment

2.50
Hdl Handle:
http://hdl.handle.net/10547/279157
Title:
IMENSE: an e-infrastructure environment for patient specific multiscale data integration, modelling and clinical treatment
Authors:
Zasada, Stefan J.; Wang, Tao; Haidar, Ali; Liu, Enjie; Graf, Norbert; Clapworthy, Gordon J.; Manos, Steven; Coveney, Peter V.
Abstract:
Secure access to patient data and analysis tools to run on that data will revolutionize the treatment of a wide range of diseases, by using advanced simulation techniques to underpin the clinical decision making process. To achieve these goals, suitable e-Science infrastructures are required to allow clinicians and researchers to trivially access data and launch simulations. In this paper we describe the open source Individualized MEdiciNe Simulation Environment (IMENSE), which provides a platform to securely manage clinical data, and to perform wide ranging analysis on that data, ultimately with the intention of enhancing clinical decision making with direct impact on patient health care. We motivate the design decisions taken in the development of the IMENSE system by considering the needs of researchers in the ContraCancrum project, which provides a paradigmatic case in which clinicians and researchers require coordinated access to data and simulation tools. We show how the modular nature of the IMENSE system makes it applicable to a wide range of biomedical computing scenarios, from within a single hospital to major international research projects.
Citation:
Zasada, S., Wang, T., Haidara, A., Liu, E., Grafc, N., Clapworthy, G., Manosa, S. and Coveney, P. (2012) 'IMENSE: An e-infrastructure environment for patient specific multiscale data integration, modelling and clinical treatment', Journal of Computational Science 3 (5):314-327
Publisher:
Elsevier
Journal:
Journal of Computational Science
Issue Date:
Sep-2012
URI:
http://hdl.handle.net/10547/279157
DOI:
10.1016/j.jocs.2011.07.001
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1877750311000639
Type:
Article
Language:
en
ISSN:
18777503
Appears in Collections:
Centre for Computer Graphics and Visualisation (CCGV)

Full metadata record

DC FieldValue Language
dc.contributor.authorZasada, Stefan J.en_GB
dc.contributor.authorWang, Taoen_GB
dc.contributor.authorHaidar, Alien_GB
dc.contributor.authorLiu, Enjieen_GB
dc.contributor.authorGraf, Norberten_GB
dc.contributor.authorClapworthy, Gordon J.en_GB
dc.contributor.authorManos, Stevenen_GB
dc.contributor.authorCoveney, Peter V.en_GB
dc.date.accessioned2013-04-07T16:21:43Z-
dc.date.available2013-04-07T16:21:43Z-
dc.date.issued2012-09-
dc.identifier.citationZasada, S., Wang, T., Haidara, A., Liu, E., Grafc, N., Clapworthy, G., Manosa, S. and Coveney, P. (2012) 'IMENSE: An e-infrastructure environment for patient specific multiscale data integration, modelling and clinical treatment', Journal of Computational Science 3 (5):314-327en_GB
dc.identifier.issn18777503-
dc.identifier.doi10.1016/j.jocs.2011.07.001-
dc.identifier.urihttp://hdl.handle.net/10547/279157-
dc.description.abstractSecure access to patient data and analysis tools to run on that data will revolutionize the treatment of a wide range of diseases, by using advanced simulation techniques to underpin the clinical decision making process. To achieve these goals, suitable e-Science infrastructures are required to allow clinicians and researchers to trivially access data and launch simulations. In this paper we describe the open source Individualized MEdiciNe Simulation Environment (IMENSE), which provides a platform to securely manage clinical data, and to perform wide ranging analysis on that data, ultimately with the intention of enhancing clinical decision making with direct impact on patient health care. We motivate the design decisions taken in the development of the IMENSE system by considering the needs of researchers in the ContraCancrum project, which provides a paradigmatic case in which clinicians and researchers require coordinated access to data and simulation tools. We show how the modular nature of the IMENSE system makes it applicable to a wide range of biomedical computing scenarios, from within a single hospital to major international research projects.en_GB
dc.language.isoenen
dc.publisherElsevieren_GB
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1877750311000639en_GB
dc.rightsArchived with thanks to Journal of Computational Scienceen_GB
dc.subjectclinical decision supporten_GB
dc.subjectElectronic health recordsen_GB
dc.titleIMENSE: an e-infrastructure environment for patient specific multiscale data integration, modelling and clinical treatmenten
dc.typeArticleen
dc.identifier.journalJournal of Computational Scienceen_GB
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