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De-identified linkage of data across separate registers: a proposal for improved protection of personal information in registry-based clinical research
Over the last decades the advent of digital documentation has provided research communities with valuable resources of information for clinical research. To utilize the potential of information about patients, their health care, and its outcome that is already available in different registers, the p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450479/ https://www.ncbi.nlm.nih.gov/pubmed/30727806 http://dx.doi.org/10.1080/03009734.2018.1527420 |
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author | Snäckerström, Tomas Johansen, Christian |
author_facet | Snäckerström, Tomas Johansen, Christian |
author_sort | Snäckerström, Tomas |
collection | PubMed |
description | Over the last decades the advent of digital documentation has provided research communities with valuable resources of information for clinical research. To utilize the potential of information about patients, their health care, and its outcome that is already available in different registers, the possibility to cross-reference information from different registers is inevitably required. When performing linkage, we are currently forced to disclose information of participating subjects either to the administration of the other register(s) or to the researcher. Considering the increased concern of issues around personal integrity, this is a limitation that affects the ethical implications of proposed research and that might in the end affect the willingness of subjects to participate in registers. For this reason we propose a different methodology for performing cross-referencing, one that effectively prevents information leakage between the different organizations participating in linking the data. We believe that it is possible to use commonly adopted technologies within the area of data security and encryption to perform linkage without disclosing any sensitive information between different participants. In this paper we demonstrate how common techniques of encryption could be implemented to achieve that and furthermore significantly simplify discovery and feasibility surveying ahead of studies. |
format | Online Article Text |
id | pubmed-6450479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-64504792019-04-15 De-identified linkage of data across separate registers: a proposal for improved protection of personal information in registry-based clinical research Snäckerström, Tomas Johansen, Christian Ups J Med Sci Article Over the last decades the advent of digital documentation has provided research communities with valuable resources of information for clinical research. To utilize the potential of information about patients, their health care, and its outcome that is already available in different registers, the possibility to cross-reference information from different registers is inevitably required. When performing linkage, we are currently forced to disclose information of participating subjects either to the administration of the other register(s) or to the researcher. Considering the increased concern of issues around personal integrity, this is a limitation that affects the ethical implications of proposed research and that might in the end affect the willingness of subjects to participate in registers. For this reason we propose a different methodology for performing cross-referencing, one that effectively prevents information leakage between the different organizations participating in linking the data. We believe that it is possible to use commonly adopted technologies within the area of data security and encryption to perform linkage without disclosing any sensitive information between different participants. In this paper we demonstrate how common techniques of encryption could be implemented to achieve that and furthermore significantly simplify discovery and feasibility surveying ahead of studies. Taylor & Francis 2019-01 2019-02-07 /pmc/articles/PMC6450479/ /pubmed/30727806 http://dx.doi.org/10.1080/03009734.2018.1527420 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Snäckerström, Tomas Johansen, Christian De-identified linkage of data across separate registers: a proposal for improved protection of personal information in registry-based clinical research |
title | De-identified linkage of data across separate registers: a proposal for improved protection of personal information in registry-based clinical research |
title_full | De-identified linkage of data across separate registers: a proposal for improved protection of personal information in registry-based clinical research |
title_fullStr | De-identified linkage of data across separate registers: a proposal for improved protection of personal information in registry-based clinical research |
title_full_unstemmed | De-identified linkage of data across separate registers: a proposal for improved protection of personal information in registry-based clinical research |
title_short | De-identified linkage of data across separate registers: a proposal for improved protection of personal information in registry-based clinical research |
title_sort | de-identified linkage of data across separate registers: a proposal for improved protection of personal information in registry-based clinical research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450479/ https://www.ncbi.nlm.nih.gov/pubmed/30727806 http://dx.doi.org/10.1080/03009734.2018.1527420 |
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