Abstract
Health-care-related research and practice often produce tremendous amounts of data. These are usually geographically distributed among hospitals, clinics, research labs, radiology centres, etc. For research, training, or clinical purposes, physicians and medical researchers often need to consult and analyse medical data from distributed sites. Anefficient software and hardware infrastructure to support on-demand information extraction as well as automated data integration and analysis in a real-time manner would provide significant convenience and is therefore increasingly needed. However, due to the sensitive nature of these data and the lack of an effective integration approach, medical data are often stored and archived within individual sites and are usually disconnected from the outside network in order to enforce security issues.
This research was supported in part by NIH grant R13LM008619.
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© 2006 Springer-Verlag Italia
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Huang, C.H. (2006). BioGrid: a collaborative environment for Life Science Research. In: Gullo, A. (eds) Anaesthesia, Pain, Intensive Care and Emergency A.P.I.C.E.. Springer, Milano. https://doi.org/10.1007/88-470-0407-1_10
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DOI: https://doi.org/10.1007/88-470-0407-1_10
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