Data security and privacy management in healthcare applications and clinical data warehouse environment

Mamta Puppala, Tiancheng He, Xiaohui Yu, Shenyi Chen, Richard Ogunti, Stephen T. Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Scopus citations

Abstract

Health Information is considered the most sensitive information associated to an individual. Even though numerous suitable policies, guidelines, and compliance requirements are in place to safeguard health information, privacy and security breach remains key issues for electronic healthcare systems. In this paper we focus on these issues and propose a security and privacy model implemented in Methodist Environment for Translational and Outcomes Research (METEOR). METEOR was developed at Houston Methodist Hospital and consists of two components: the enterprise data warehouse (EDW) and a software intelligence and analytics (SIA) layer. This model indicates that patient privacy is best protected by implementing a systematic mix of technologies and best practices such as technical de-identification of data, restrictive data access, and security measures in the underlying technical platforms. Our results suggest that the proposed security model make data security compromise and unauthorized access of protected patient health information extremely improbable.

Original languageEnglish (US)
Title of host publication3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-8
Number of pages4
ISBN (Print)9781509024551
DOIs
StatePublished - Apr 18 2016
Event3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States
Duration: Feb 24 2016Feb 27 2016

Other

Other3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Country/TerritoryUnited States
CityLas Vegas
Period2/24/162/27/16

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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