Key points for an ethical evaluation of healthcare big data
The article studies specific ethical issues arising from the use of big data in Life Sciences and Healthcare. Methods: Main consensus documents, other studies, and particular cases are analyzed. Results: New concepts that emerged in five key areas for the bioethical debate on big data and health...
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| Format: | info:eu-repo/semantics/article |
| Language: | spa |
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MDPI
2021
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| Online Access: | https://hdl.handle.net/10171/62200 |
| _version_ | 1793400112997728256 |
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| author | Leon-Sanz, P. (Pilar) |
| author_facet | Leon-Sanz, P. (Pilar) |
| author_sort | Leon-Sanz, P. (Pilar) |
| collection | DSpace |
| description | The article studies specific ethical issues arising from the use of big data in
Life Sciences and Healthcare. Methods: Main consensus documents, other studies, and particular
cases are analyzed. Results: New concepts that emerged in five key areas for the bioethical
debate on big data and health are identified—the accuracy and validity of data and algorithms,
questions related to transparency and confidentiality in the use of data; aspects that raise the coding
or pseudonymization and the anonymization of data, and also problems derived from the possible
individual or group identification; the new ways of obtaining consent for the transfer of personal data;
the relationship between big data and the responsibility of professional decision; and the commitment
of the Institutions and Public Administrations. Conclusions: Good practices in the management
of big data related to Life Sciences and Healthcare depend on respect for the rights of individuals,
the improvement that these practices can introduce in assistance to individual patients, the promotion
of society’s health in general and the advancement of scientific knowledge. |
| format | info:eu-repo/semantics/article |
| id | oai:dadun.unav.edu:10171-62200 |
| institution | Universidad de Navarra |
| language | spa |
| publishDate | 2021 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:dadun.unav.edu:10171-622002021-10-21T01:04:43Z Key points for an ethical evaluation of healthcare big data Leon-Sanz, P. (Pilar) Biomedical ethics Big data and life sciences Data protection Confidentiality Consent forms Health administration and big data The article studies specific ethical issues arising from the use of big data in Life Sciences and Healthcare. Methods: Main consensus documents, other studies, and particular cases are analyzed. Results: New concepts that emerged in five key areas for the bioethical debate on big data and health are identified—the accuracy and validity of data and algorithms, questions related to transparency and confidentiality in the use of data; aspects that raise the coding or pseudonymization and the anonymization of data, and also problems derived from the possible individual or group identification; the new ways of obtaining consent for the transfer of personal data; the relationship between big data and the responsibility of professional decision; and the commitment of the Institutions and Public Administrations. Conclusions: Good practices in the management of big data related to Life Sciences and Healthcare depend on respect for the rights of individuals, the improvement that these practices can introduce in assistance to individual patients, the promotion of society’s health in general and the advancement of scientific knowledge. 2021-10-20T10:15:20Z 2021-10-20T10:15:20Z 2019 info:eu-repo/semantics/article https://hdl.handle.net/10171/62200 spa info:eu-repo/semantics/openAccess application/pdf MDPI |
| spellingShingle | Biomedical ethics Big data and life sciences Data protection Confidentiality Consent forms Health administration and big data Leon-Sanz, P. (Pilar) Key points for an ethical evaluation of healthcare big data |
| title | Key points for an ethical evaluation of healthcare big data |
| title_full | Key points for an ethical evaluation of healthcare big data |
| title_fullStr | Key points for an ethical evaluation of healthcare big data |
| title_full_unstemmed | Key points for an ethical evaluation of healthcare big data |
| title_short | Key points for an ethical evaluation of healthcare big data |
| title_sort | key points for an ethical evaluation of healthcare big data |
| topic | Biomedical ethics Big data and life sciences Data protection Confidentiality Consent forms Health administration and big data |
| url | https://hdl.handle.net/10171/62200 |
| work_keys_str_mv | AT leonsanzppilar keypointsforanethicalevaluationofhealthcarebigdata |