Anonymization for outputs of population health and health services research conducted via an online data center | Zendy

Christine M. O’Keefe | Zendy; Mark Westcott | Zendy; Maree O’Sullivan | Zendy; Adrien Ickowicz | Zendy; Tim Churches | Zendy

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Anonymization for outputs of population health and health services research conducted via an online data center

Author(s) -

Christine M. O’Keefe,

Mark Westcott,

Maree O’Sullivan,

Adrien Ickowicz,

Tim Churches

Publication year - 2016

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocw152

Subject(s) - center (category theory) , computer science , population health , population , health data , data science , medicine , health care , environmental health , political science , chemistry , law , crystallography

Online data centers (ODCs) are becoming increasingly popular for making health-related data available for research. Such centers provide good privacy protection during analysis by trusted researchers, but privacy concerns may still remain if the system outputs are not sufficiently anonymized. In this article, we propose a method for anonymizing analysis outputs from ODCs for publication in academic literature.

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