A linkable identity privacy algorithm for healthgrid

Ning Zhang, Alan Rector, Iain Buchan, Qi Shi, Dipak Kalra, Jeremy Rogers, Carole Goble, Steve Walker, David Ingram, Peter Singleton

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

The issues of confidentiality and privacy have become increasingly important as Grid technology is being adopted in public sectors such as healthcare. This paper discusses the importance of protecting the confidentiality and privacy of patient health/medical records, and the challenges exhibited in enforcing this protection in a Grid environment. It proposes a novel algorithm to allow traceable/linkable identity privacy in dealing with de-identified medical records. Using the algorithm, de-identified health records associated to the same patient but generated by different healthcare providers are given different pseudonyms. However, these pseudonymised records of the same patient can still be linked by a trusted entity such as the NHS trust or HealthGrid manager. The paper has also recommended a security architecture that integrates the proposed algorithm with other data security measures needed to achieve the desired security and privacy in the HealthGrid context. © 2005 The authors.
Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics|Stud. Health Technol. Informatics
Place of PublicationThe Netherlands
PublisherIOS Press
Pages234-245
Number of pages11
Volume112
ISBN (Print)158603510X, 9781586035105
Publication statusPublished - 2005
Event3rd Annual Conference of the Healthgrid Association, Healthgrid 2005 - Oxford
Duration: 1 Jul 2005 → …

Conference

Conference3rd Annual Conference of the Healthgrid Association, Healthgrid 2005
CityOxford
Period1/07/05 → …

Keywords

  • HealthGrid
  • Privacy and accountability
  • Security analysis
  • Security architecture

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