Please use this identifier to cite or link to this item: https://doi.org/10.1109/BHI.2016.7455951
Title: A de-identification tool for users in medical operations and public health
Authors: Salloway M.K. 
Deng X. 
Ning Y.
Kao S.L.
Chen Y.
Schaefer G.O. 
Chin J.J.-L.
Tai E.-S.
Tan C.S.
Keywords: data sharing
de-identification
mapping tables
masking
privacy
public health
tokenization
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Salloway M.K., Deng X., Ning Y., Kao S.L., Chen Y., Schaefer G.O., Chin J.J.-L., Tai E.-S., Tan C.S. (2016). A de-identification tool for users in medical operations and public health. 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 : 529-532. ScholarBank@NUS Repository. https://doi.org/10.1109/BHI.2016.7455951
Abstract: Multiple clinical, business and operational use cases from Electronic Health Records (EHR) systems has resulted in the availability of large quantities of longitudinal data. The secondary use of these data for research provides opportunities to generate insights that can help shape the design and delivery of health care services. Methods that allow the de-identification of these datasets facilitate their use for research while minimizing the loss of privacy. In addition, to optimize the use of the data, particularly for longitudinal datasets, the ability to generate the same unique identifier for each individual allows re-linking as more data on the same individual becomes available over time. This paper details an open source software tool named Ezy De-Identifier, developed to make the assignment of pseudo-identifiers simple to users in a medical operations and public health setting, and reports the user's perspectives of the tool through a survey. In addition, we view the tool from the perspective of research reproducibility and security, and explore its application to generate a dataset satisfying established dataset protection requirements. � 2016 IEEE.
Source Title: 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
URI: https://scholarbank.nus.edu.sg/handle/10635/156612
ISBN: 9781509024551
DOI: 10.1109/BHI.2016.7455951
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Jul 21, 2019

Page view(s)

19
checked on Jul 18, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.