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Improving patients privacy with Pseudonymization.

Authors: Thomas Neubauer; Bernhard Riedl;

Improving patients privacy with Pseudonymization.

Abstract

e-Health requires the sharing of patient related data when and where necessary. Electronic health records promise to improve communication between health care providers, thus leading to better quality of patients' treatment and reduced costs. As highly sensitive patient information provides a promising goal (e.g., for attackers), there is an increasing social and political pressure to guarantee patients privacy. This paper presents the new system PIPE (Pseudonymization of Information for Privacy in e-Health), that differs from existing approaches in its ability to securely integrate primary and secondary usage of health data.

Keywords

Computer Communication Networks, Patient Access to Records, Patient Identification Systems, Medical Records Systems, Computerized, Privacy, Austria, Humans, Anonyms and Pseudonyms, Medical Record Linkage, Computer Security

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Top 10%
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