DocumentCode
555837
Title
Pseudonmization techniques for clinical data: Privacy study in Sultan Ismail Hospital Johor Bahru
Author
Rahim, Yahaya Abd ; Sahib, Shahrin ; Ghani, Mohd Khanapi Abd
Author_Institution
Fac. of Inf. & Commun. Technol., Univ. Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia
fYear
2011
fDate
26-28 Sept. 2011
Firstpage
74
Lastpage
77
Abstract
Privacy includes the right of individuals and organizations to determine for themselves when, how and to what extent information about them is communicated to others. The growing need of managing large amounts of data in hospital or clinical raises important legal and ethical challenges. This paper introduces and show the testing implementation of the privacy-protection problems, and highlights the relevance of trusted third parties and of privacy-enhancing techniques (PETs) in the context of data collection, e.g., for research. Practical approache on the pseudonymization model for batch data collection are presented. The actual application of the described techniques today proves the possible benefits for medicine that innovative privacy-enhancing techniques can provide. Technical PET solutions can unlock valuable data sources, otherwise not available.
Keywords
data privacy; hospitals; medical information systems; Sultan Ismail Hospital Johor Bahru; batch data collection; clinical data; data collection; data management; innovative privacy enhancing technique; pseudonymization model; technical PET solution; Data privacy; Databases; Payloads; Privacy; Registers; Risk management; Servers;
fLanguage
English
Publisher
ieee
Conference_Titel
Networked Computing (INC), 2011 The 7th International Conference on
Conference_Location
Gyeongsangbuk-do
Print_ISBN
978-1-4577-1129-9
Electronic_ISBN
978-89-88678-43-5
Type
conf
Filename
6058948
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