TY - JOUR
T1 - @neurIST
T2 - Infrastructure for advanced disease management through integration of heterogeneous data, computing, and complex processing services
AU - Benkner, Siegfried
AU - Arbona, Antonio
AU - Berti, Guntram
AU - Chiarini, Alessandro
AU - Dunlop, Robert
AU - Engelbrecht, Gerhard
AU - Frangi, Alejandro F.
AU - Friedrich, Christoph M.
AU - Hanser, Susanne
AU - Hasselmeyer, Peer
AU - Hose, Rod D.
AU - Iavindrasana, Jimison
AU - Khler, Martin
AU - Iacono, Luigi Lo
AU - Lonsdale, Guy
AU - Meyer, Rodolphe
AU - Moore, Bob
AU - Rajasekaran, Hariharan
AU - Summers, Paul E.
AU - Whrer, Alexander
AU - Wood, Steven
PY - 2010/11
Y1 - 2010/11
N2 - The increasing volume of data describing human disease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers. This paper presents the @neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together heterogeneous data and complex processing and computing services. Although @neurIST targets the investigation and treatment of cerebral aneurysms, the systems architecture is generic enough that it could be adapted to the treatment of other diseases. Innovations in @neurIST include confining the patient data pertaining to aneurysms inside a single environment that offers clinicians the tools to analyze and interpret patient data and make use of knowledge-based guidance in planning their treatment. Medical researchers gain access to a critical mass of aneurysm related data due to the systems ability to federate distributed information sources. A semantically mediated grid infrastructure ensures that both clinicians and researchers are able to seamlessly access and work on data that is distributed across multiple sites in a secure way in addition to providing computing resources on demand for performing computationally intensive simulations for treatment planning and research.
AB - The increasing volume of data describing human disease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers. This paper presents the @neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together heterogeneous data and complex processing and computing services. Although @neurIST targets the investigation and treatment of cerebral aneurysms, the systems architecture is generic enough that it could be adapted to the treatment of other diseases. Innovations in @neurIST include confining the patient data pertaining to aneurysms inside a single environment that offers clinicians the tools to analyze and interpret patient data and make use of knowledge-based guidance in planning their treatment. Medical researchers gain access to a critical mass of aneurysm related data due to the systems ability to federate distributed information sources. A semantically mediated grid infrastructure ensures that both clinicians and researchers are able to seamlessly access and work on data that is distributed across multiple sites in a secure way in addition to providing computing resources on demand for performing computationally intensive simulations for treatment planning and research.
KW - Aneurysms
KW - architecture
KW - biomechanical simulation
KW - biomedical grid
KW - ontology
UR - http://www.scopus.com/inward/record.url?scp=78249262585&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78249262585&partnerID=8YFLogxK
U2 - 10.1109/TITB.2010.2049268
DO - 10.1109/TITB.2010.2049268
M3 - Article
C2 - 20435543
AN - SCOPUS:78249262585
VL - 14
SP - 1365
EP - 1377
JO - IEEE Transactions on Information Technology in Biomedicine
JF - IEEE Transactions on Information Technology in Biomedicine
SN - 1089-7771
IS - 6
M1 - 5456192
ER -