Title
Image De-Identification Methods for Clinical Research in the XDS Environment.
Abstract
To investigate possible de-identification methodologies within the Cross-Enterprise Document Sharing for imaging (XDS-I) environment in order to provide strengthened support for image data exchange as part of clinical research projects. De-identification, using anonymization or pseudonymization, is the most common method to perform information removal within DICOM data. However, it is not a standard part of the XDS-I profiles. Different methodologies were observed to define how and where de-identification should take place within an XDS environment used for scientific research. De-identification service can be placed in three locations within the XDS-I framework: 1) within the Document Source, 2) between the Document Source and Document Consumer, and 3) within the Document Consumer. First method has a potential advantage with respect to the exposure of the images to outside systems but has drawbacks with respect to additional hardware and configuration requirements. Second and third method have big concern in exposing original documents with all identifiable data being intact after leaving the Document Source. De-identification within the Document Source has more advantages compared to the other methods. On the contrary, it is less recommended to perform de-identification within the Document Consumer since it has the highest risk of the exposure of patients identity due to the fact that images are exposed without de-identification during the transfers.
Year
DOI
Venue
2016
10.1007/s10916-016-0431-7
Journal of Medical Systems
Keywords
Field
DocType
XDS, XDS-I, Cross-enterprise document sharing, De-identification, Clinical Research, Patient data privacy
Data mining,DICOM,Data exchange,Confidentiality,De-identification,Computer security,Computer science,Data anonymization,Health information exchange,Pseudonymization,Database,Scientific method
Journal
Volume
Issue
ISSN
40
4
1573-689X
Citations 
PageRank 
References 
1
0.35
6
Authors
5
Name
Order
Citations
PageRank
K. Y. E. Aryanto1171.11
G van Kernebeek210.35
B Berendsen310.35
Matthijs Oudkerk415415.63
Peter M. A. Van Ooijen55710.23