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A framework for a secure federated patient healthcare system

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Medical records contain personal information like names, Social Security Number (SSN), Birth Date etc. The exposure of this information could cause considerable damage and lends itself to misuse in multiple ways However it is widely recognized that information from hospital information systems is needed for research and development. In this paper we propose a new framework to secure data from multiple sources.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHsinchun Chen, Daniel D. Zeng, Reagan Moore, John Leavitt
PublisherSpringer Verlag
Pages512-513
Number of pages2
ISBN (Electronic)9783540221258
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3073
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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