—Software interoperability refers to how a software system can be used with other software systems. One of the most relevant challenges in 2017 to reach software interoperability in e-health is to develop a standardized way of identifying patients. The recent Regulation (EU) N. 910/2014, eIDAS for short, enables secure mutual identification between citizens and public authorities, and this is achieved by a cooperative approach defined by the eIDAS Interoperability Architecture. In this paper, we analyze this software architecture and show that it may results in a privacy problem, if the identification procedure regards a health service. Moreover, a solution to this problem is proposed, which is based on a modification of the protocol defined by the eIDAS Interoperability Architecture to reach the goal of the anonymity of the service requested by the patient.

A Warning on Software Interoperability in e-Health / Lax, Gianluca. - In: INTERNATIONAL JOURNAL OF MACHINE LEARNING AND COMPUTING. - ISSN 2010-3700. - 9:5(2019), pp. 629-635. [10.18178/ijmlc.2019.9.5.850]

A Warning on Software Interoperability in e-Health

Lax, Gianluca
2019-01-01

Abstract

—Software interoperability refers to how a software system can be used with other software systems. One of the most relevant challenges in 2017 to reach software interoperability in e-health is to develop a standardized way of identifying patients. The recent Regulation (EU) N. 910/2014, eIDAS for short, enables secure mutual identification between citizens and public authorities, and this is achieved by a cooperative approach defined by the eIDAS Interoperability Architecture. In this paper, we analyze this software architecture and show that it may results in a privacy problem, if the identification procedure regards a health service. Moreover, a solution to this problem is proposed, which is based on a modification of the protocol defined by the eIDAS Interoperability Architecture to reach the goal of the anonymity of the service requested by the patient.
2019
Interoperability, privacy, e-health, eIDAS
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/51931
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