Eliciting and characterizing scenarios of disclosure of private health data.

Dizza Beimel, Mor Peleg, Dov Dori, Jacob Slonim

Research output: Contribution to conferenceAbstractpeer-review

Abstract

Sensitive health information is kept in Electronic Health Records (EHRs) which makes the data accessible, enabling its transfer against patient consent. Hence, the need for privacy-preserving mechanisms is a top priority. As a first step towards the development of privacy-preserving access control language, we used qualitative research methods to characterize scenarios of requests for disclosure of patient data and identify the entities involved, the context of the request, and the requested data.

Original languageEnglish
Pages853
Number of pages1
StatePublished - 2006
Externally publishedYes

ASJC Scopus subject areas

  • General Medicine

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