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Modeling Risk in Distributed Healthcare Information Systems

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2 Author(s)
Ilias Maglogiannis ; IEEE Member, University of the Aegean, Dept. of Information and Communication Systems Engineering, 83200 Karlovasi, Samos, Greece. e-mail: ; Elias Zafiropoulos

This paper presents a modeling approach for performing a risk analysis study of networked healthcare information systems. The proposed method is based on CRAMM for studying the assets, threats and vulnerabilities of the distributed information system, and models their interrelationships using Bayesian networks. The most critical events are identified and prioritized, based on "what - if" studies of system operation. The proposed risk analysis framework has been applied to a healthcare information network operating in the North Aegean Region in Greece

Published in:

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Date of Conference:

Aug. 30 2006-Sept. 3 2006