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Statistical Models for EHR Security in Web Healthcare Information Systems

Statistical Models for EHR Security in Web Healthcare Information Systems
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Author(s): Stelios Zimeras (University of Aegean, Greece)and Anastasia N. Kastania (Athens University of Economics and Business, Greece)
Copyright: 2011
Pages: 13
Source title: Certification and Security in Health-Related Web Applications: Concepts and Solutions
Source Author(s)/Editor(s): Anargyros Chryssanthou (Hellenic Data Protection Authority, Greece), Ioannis Apostolakis (National School of Public Health, Greece)and Iraklis Varlamis (Harokopio University of Athens, Greece)
DOI: 10.4018/978-1-61692-895-7.ch007

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Abstract

Security is an important requirement for health information systems. Security is important for several reasons, most of which have a foundation in economics. Firstly, equipment is expensive to get, install, and integrate into the infrastructure of an organization. Secondly, the operations of an organization are based on the applied technology infrastructure, which means that disruption of operations quickly turns into unnecessary costs and, when applicable, potential loss of revenue. The adoption of digital patient records, increased regulation, supplier consolidation, and the increasing demand for information, highlights the need for better information security. Electronic health (e-Health) has become an important area of concern. A comprehensive EHR (Electronic Health Record) at the point of care could be created by collecting and sharing data among all sites at which patient receives care, as well as by incorporating information supplied by the patient. One of the greatest incentives to adopting EHRs will be reaching a critical mass of information sharing investors in health care information technology. In this work the authors examine the security properties of the EHR, with a special emphasis on software reliability. The authors focus on modelling and studying the reliability feature of the EHR. Special attention is given on exploiting the mathematical foundations of reliability modelling in a service-oriented architecture. Statistical measures called web metrics can be introduced to assess the performance of these systems.

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