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Erschienen in:
Eco Models of Distributed Systems Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Privacy-Aware Data Analysis Middleware for Data-Driven EHR Systems

verfasst von : Thien-An Nguyen, Nhien-An Le-Khac, M-Tahar Kechadi

Erschienen in: Future Data and Security Engineering

Verlag: Springer International Publishing

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Abstract

Privacy preservation is an essential requirement for information systems and also it is regulated by law. However, existing solutions for privacy protection during data analysis have some limitations when applied to data-driven electronic health record (EHR) systems such as data distortion and flexibility. This paper presents a novel approach to deal with this issue that is a privacy-aware protocol for healthcare data analysis. This approach uses special secured views. For the compatibility with data-driven EHR systems, the protocol is proposed together with a high-level middleware architecture. The suggested solution is discussed based on system requirements and specification to demonstrate its advantages.

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Vorheriges Kapitel Development and Implementation of a Web Application for the Management of Data Recorded by a Carbon Monoxide Sensor
Nächstes Kapitel An Exact Consensus-Based Network Intrusion Detection System
Fußnoten
1
HL7 Clinical Document Architecture, a standard for exchanging clinical documents.
 
2
Digital Imaging and Communications in Medicine, a standard for storing and transmitting medical images.
 
3
This table is taken from [20] but the other example tables are re-calculated for this paper by our method.
 
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Metadaten
Titel
Privacy-Aware Data Analysis Middleware for Data-Driven EHR Systems
verfasst von
Thien-An Nguyen
Nhien-An Le-Khac
M-Tahar Kechadi
Copyright-Jahr
2017
Buch
Future Data and Security Engineering

Print ISBN: 978-3-319-70003-8

Electronic ISBN: 978-3-319-70004-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-70004-5_24

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