Home > Archive > 2019 > Volume 9 Number 5 (Oct. 2019) >
IJMLC 2019 Vol.9(5): 629-635 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2019.9.5.850

A Warning on Software Interoperability in e-Health

Gianluca Lax

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.

Index Terms—Interoperability, privacy, e-health, eIDAS.

Gianluca Lax is with University Mediterranea of Reggio Calabria, Reggio Calabria, Italy (e-mail: lax@unirc.it).

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Cite: Gianluca Lax, "A Warning on Software Interoperability in e-Health," International Journal of Machine Learning and Computing vol. 9, no. 5, pp. 629-635, 2019.

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Quaterly
  • DOI: 10.18178/IJML
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijml@ejournal.net


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