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Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide

Widespread use of medical records for research, without consent, attracts little scrutiny compared to biospecimen research, where concerns about genomic privacy prompted recent federal proposals to mandate consent. This paper explores an important consequence of the proliferation of electronic healt...

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Detalles Bibliográficos
Autores principales: Kulynych, Jennifer, Greely, Henry T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570692/
https://www.ncbi.nlm.nih.gov/pubmed/28852559
http://dx.doi.org/10.1093/jlb/lsw061
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author Kulynych, Jennifer
Greely, Henry T.
author_facet Kulynych, Jennifer
Greely, Henry T.
author_sort Kulynych, Jennifer
collection PubMed
description Widespread use of medical records for research, without consent, attracts little scrutiny compared to biospecimen research, where concerns about genomic privacy prompted recent federal proposals to mandate consent. This paper explores an important consequence of the proliferation of electronic health records (EHRs) in this permissive atmosphere: with the advent of clinical gene sequencing, EHR-based secondary research poses genetic privacy risks akin to those of biospecimen research, yet regulators still permit researchers to call gene sequence data ‘de-identified’, removing such data from the protection of the federal Privacy Rule and federal human subjects regulations. Medical centers and other providers seeking to offer genomic ‘personalized medicine’ now confront the problem of governing the secondary use of clinical genomic data as privacy risks escalate. We argue that regulators should no longer permit HIPAA-covered entities to treat dense genomic data as de-identified health information. Even with this step, the Privacy Rule would still permit disclosure of clinical genomic data for research, without consent, under a data use agreement, so we also urge that providers give patients specific notice before disclosing clinical genomic data for research, permitting (where possible) some degree of choice and control. To aid providers who offer clinical gene sequencing, we suggest both general approaches and specific actions to reconcile patients’ rights and interests with genomic research.
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spelling pubmed-55706922017-08-29 Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide Kulynych, Jennifer Greely, Henry T. J Law Biosci Original Article Widespread use of medical records for research, without consent, attracts little scrutiny compared to biospecimen research, where concerns about genomic privacy prompted recent federal proposals to mandate consent. This paper explores an important consequence of the proliferation of electronic health records (EHRs) in this permissive atmosphere: with the advent of clinical gene sequencing, EHR-based secondary research poses genetic privacy risks akin to those of biospecimen research, yet regulators still permit researchers to call gene sequence data ‘de-identified’, removing such data from the protection of the federal Privacy Rule and federal human subjects regulations. Medical centers and other providers seeking to offer genomic ‘personalized medicine’ now confront the problem of governing the secondary use of clinical genomic data as privacy risks escalate. We argue that regulators should no longer permit HIPAA-covered entities to treat dense genomic data as de-identified health information. Even with this step, the Privacy Rule would still permit disclosure of clinical genomic data for research, without consent, under a data use agreement, so we also urge that providers give patients specific notice before disclosing clinical genomic data for research, permitting (where possible) some degree of choice and control. To aid providers who offer clinical gene sequencing, we suggest both general approaches and specific actions to reconcile patients’ rights and interests with genomic research. Oxford University Press 2017-01-15 /pmc/articles/PMC5570692/ /pubmed/28852559 http://dx.doi.org/10.1093/jlb/lsw061 Text en © The Author 2017. Published by Oxford University Press on behalf of Duke University School of Law, Harvard Law School, Oxford University Press, and Stanford Law School. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Kulynych, Jennifer
Greely, Henry T.
Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide
title Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide
title_full Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide
title_fullStr Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide
title_full_unstemmed Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide
title_short Clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide
title_sort clinical genomics, big data, and electronic medical records: reconciling patient rights with research when privacy and science collide
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570692/
https://www.ncbi.nlm.nih.gov/pubmed/28852559
http://dx.doi.org/10.1093/jlb/lsw061
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