DocumentCode :
496222
Title :
Privacy enforcement for distributed healthcare queries
Author :
Siegenthaler, Michael ; Birman, Ken
Author_Institution :
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
fYear :
2009
fDate :
1-3 April 2009
Firstpage :
1
Lastpage :
6
Abstract :
In the healthcare industry and others, sensitive private information must be stored and shared between various organizations in the course of running their business. We have developed an architecture in which distributed data can be queried as if it resided in a single centralized database, while revealing minimal information beyond the answer to the query. In this paper we review the architecture and show how queries can be filtered to enforce user-specified privacy policies.We present a system for tracking information flow that is flexible enough to permit revealing sensitive data to those who have a need to know, while limiting the amount of useful information that can be obtained by a less-than-honest participant.
Keywords :
data privacy; distributed processing; health care; medical information systems; query processing; centralized database; distributed healthcare queries; healthcare industry; privacy enforcement; sensitive private information; Computer science; Costs; Data privacy; Data security; Databases; Drugs; History; Medical services; Protection; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on
Conference_Location :
London
Print_ISBN :
978-963-9799-42-4
Electronic_ISBN :
978-963-9799-30-1
Type :
conf
DOI :
10.4108/ICST.PERVASIVEHEALTH2009.6016
Filename :
5191221
Link To Document :
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