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Who Owns the Data? Open Data for Healthcare

Research on large shared medical datasets and data-driven research are gaining fast momentum and provide major opportunities for improving health systems as well as individual care. Such open data can shed light on the causes of disease and effects of treatment, including adverse reactions side-effe...

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Autores principales: Kostkova, Patty, Brewer, Helen, de Lusignan, Simon, Fottrell, Edward, Goldacre, Ben, Hart, Graham, Koczan, Phil, Knight, Peter, Marsolier, Corinne, McKendry, Rachel A., Ross, Emma, Sasse, Angela, Sullivan, Ralph, Chaytor, Sarah, Stevenson, Olivia, Velho, Raquel, Tooke, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756607/
https://www.ncbi.nlm.nih.gov/pubmed/26925395
http://dx.doi.org/10.3389/fpubh.2016.00007
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author Kostkova, Patty
Brewer, Helen
de Lusignan, Simon
Fottrell, Edward
Goldacre, Ben
Hart, Graham
Koczan, Phil
Knight, Peter
Marsolier, Corinne
McKendry, Rachel A.
Ross, Emma
Sasse, Angela
Sullivan, Ralph
Chaytor, Sarah
Stevenson, Olivia
Velho, Raquel
Tooke, John
author_facet Kostkova, Patty
Brewer, Helen
de Lusignan, Simon
Fottrell, Edward
Goldacre, Ben
Hart, Graham
Koczan, Phil
Knight, Peter
Marsolier, Corinne
McKendry, Rachel A.
Ross, Emma
Sasse, Angela
Sullivan, Ralph
Chaytor, Sarah
Stevenson, Olivia
Velho, Raquel
Tooke, John
author_sort Kostkova, Patty
collection PubMed
description Research on large shared medical datasets and data-driven research are gaining fast momentum and provide major opportunities for improving health systems as well as individual care. Such open data can shed light on the causes of disease and effects of treatment, including adverse reactions side-effects of treatments, while also facilitating analyses tailored to an individual’s characteristics, known as personalized or “stratified medicine.” Developments, such as crowdsourcing, participatory surveillance, and individuals pledging to become “data donors” and the “quantified self” movement (where citizens share data through mobile device-connected technologies), have great potential to contribute to our knowledge of disease, improving diagnostics, and delivery of ­healthcare and treatment. There is not only a great potential but also major concerns over privacy, confidentiality, and control of data about individuals once it is shared. Issues, such as user trust, data privacy, transparency over the control of data ownership, and the implications of data analytics for personal privacy with potentially intrusive inferences, are becoming increasingly scrutinized at national and international levels. This can be seen in the recent backlash over the proposed implementation of care.data, which enables individuals’ NHS data to be linked, retained, and shared for other uses, such as research and, more controversially, with businesses for commercial exploitation. By way of contrast, through increasing popularity of social media, GPS-enabled mobile apps and tracking/wearable devices, the IT industry and MedTech giants are pursuing new projects without clear public and policy discussion about ownership and responsibility for user-generated data. In the absence of transparent regulation, this paper addresses the opportunities of Big Data in healthcare together with issues of responsibility and accountability. It also aims to pave the way for public policy to support a balanced agenda that safeguards personal information while enabling the use of data to improve public health.
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spelling pubmed-47566072016-02-26 Who Owns the Data? Open Data for Healthcare Kostkova, Patty Brewer, Helen de Lusignan, Simon Fottrell, Edward Goldacre, Ben Hart, Graham Koczan, Phil Knight, Peter Marsolier, Corinne McKendry, Rachel A. Ross, Emma Sasse, Angela Sullivan, Ralph Chaytor, Sarah Stevenson, Olivia Velho, Raquel Tooke, John Front Public Health Public Health Research on large shared medical datasets and data-driven research are gaining fast momentum and provide major opportunities for improving health systems as well as individual care. Such open data can shed light on the causes of disease and effects of treatment, including adverse reactions side-effects of treatments, while also facilitating analyses tailored to an individual’s characteristics, known as personalized or “stratified medicine.” Developments, such as crowdsourcing, participatory surveillance, and individuals pledging to become “data donors” and the “quantified self” movement (where citizens share data through mobile device-connected technologies), have great potential to contribute to our knowledge of disease, improving diagnostics, and delivery of ­healthcare and treatment. There is not only a great potential but also major concerns over privacy, confidentiality, and control of data about individuals once it is shared. Issues, such as user trust, data privacy, transparency over the control of data ownership, and the implications of data analytics for personal privacy with potentially intrusive inferences, are becoming increasingly scrutinized at national and international levels. This can be seen in the recent backlash over the proposed implementation of care.data, which enables individuals’ NHS data to be linked, retained, and shared for other uses, such as research and, more controversially, with businesses for commercial exploitation. By way of contrast, through increasing popularity of social media, GPS-enabled mobile apps and tracking/wearable devices, the IT industry and MedTech giants are pursuing new projects without clear public and policy discussion about ownership and responsibility for user-generated data. In the absence of transparent regulation, this paper addresses the opportunities of Big Data in healthcare together with issues of responsibility and accountability. It also aims to pave the way for public policy to support a balanced agenda that safeguards personal information while enabling the use of data to improve public health. Frontiers Media S.A. 2016-02-17 /pmc/articles/PMC4756607/ /pubmed/26925395 http://dx.doi.org/10.3389/fpubh.2016.00007 Text en Copyright © 2016 Kostkova, Brewer, de Lusignan, Fottrell, Goldacre, Hart, Koczan, Knight, Marsolier, McKendry, Ross, Sasse, Sullivan, Chaytor, Stevenson, Velho and Tooke. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Kostkova, Patty
Brewer, Helen
de Lusignan, Simon
Fottrell, Edward
Goldacre, Ben
Hart, Graham
Koczan, Phil
Knight, Peter
Marsolier, Corinne
McKendry, Rachel A.
Ross, Emma
Sasse, Angela
Sullivan, Ralph
Chaytor, Sarah
Stevenson, Olivia
Velho, Raquel
Tooke, John
Who Owns the Data? Open Data for Healthcare
title Who Owns the Data? Open Data for Healthcare
title_full Who Owns the Data? Open Data for Healthcare
title_fullStr Who Owns the Data? Open Data for Healthcare
title_full_unstemmed Who Owns the Data? Open Data for Healthcare
title_short Who Owns the Data? Open Data for Healthcare
title_sort who owns the data? open data for healthcare
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756607/
https://www.ncbi.nlm.nih.gov/pubmed/26925395
http://dx.doi.org/10.3389/fpubh.2016.00007
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