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Sharing whilst caring: solidarity and public trust in a data-driven healthcare system
BACKGROUND: In the UK, the solidaristic character of the NHS makes it one of the most trusted public institutions. In recent years, the introduction of data-driven technologies in healthcare has opened up the space for collaborations with private digital companies seeking access to patient data. How...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607840/ https://www.ncbi.nlm.nih.gov/pubmed/33143692 http://dx.doi.org/10.1186/s12910-020-00553-8 |
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author | Horn, Ruth Kerasidou, Angeliki |
author_facet | Horn, Ruth Kerasidou, Angeliki |
author_sort | Horn, Ruth |
collection | PubMed |
description | BACKGROUND: In the UK, the solidaristic character of the NHS makes it one of the most trusted public institutions. In recent years, the introduction of data-driven technologies in healthcare has opened up the space for collaborations with private digital companies seeking access to patient data. However, these collaborations appear to challenge the public’s trust in the. MAIN TEXT: In this paper we explore how the opening of the healthcare sector to private digital companies challenges the existing social contract and the NHS’s solidaristic character, and impacts on public trust. We start by critically discussing different examples of partnerships between the NHS and private companies that collect and use data. We then analyse the relationship between trust and solidarity, and investigate how this relationship changes in the context of digital companies entering the healthcare system. Finally, we show ways for the NHS to maintain public trust by putting in place a solidarity grounded partnership model with companies seeking to access patient data. Such a model would need to serve collective interests through, for example, securing preferential access to goods and services, providing health benefits, and monitoring data access. CONCLUSION: A solidarity grounded partnership model will help establish a social contract or licence that responds to the public’s expectations and to principles of a solidaristic healthcare system. |
format | Online Article Text |
id | pubmed-7607840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76078402020-11-03 Sharing whilst caring: solidarity and public trust in a data-driven healthcare system Horn, Ruth Kerasidou, Angeliki BMC Med Ethics Debate BACKGROUND: In the UK, the solidaristic character of the NHS makes it one of the most trusted public institutions. In recent years, the introduction of data-driven technologies in healthcare has opened up the space for collaborations with private digital companies seeking access to patient data. However, these collaborations appear to challenge the public’s trust in the. MAIN TEXT: In this paper we explore how the opening of the healthcare sector to private digital companies challenges the existing social contract and the NHS’s solidaristic character, and impacts on public trust. We start by critically discussing different examples of partnerships between the NHS and private companies that collect and use data. We then analyse the relationship between trust and solidarity, and investigate how this relationship changes in the context of digital companies entering the healthcare system. Finally, we show ways for the NHS to maintain public trust by putting in place a solidarity grounded partnership model with companies seeking to access patient data. Such a model would need to serve collective interests through, for example, securing preferential access to goods and services, providing health benefits, and monitoring data access. CONCLUSION: A solidarity grounded partnership model will help establish a social contract or licence that responds to the public’s expectations and to principles of a solidaristic healthcare system. BioMed Central 2020-11-03 /pmc/articles/PMC7607840/ /pubmed/33143692 http://dx.doi.org/10.1186/s12910-020-00553-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Debate Horn, Ruth Kerasidou, Angeliki Sharing whilst caring: solidarity and public trust in a data-driven healthcare system |
title | Sharing whilst caring: solidarity and public trust in a data-driven healthcare system |
title_full | Sharing whilst caring: solidarity and public trust in a data-driven healthcare system |
title_fullStr | Sharing whilst caring: solidarity and public trust in a data-driven healthcare system |
title_full_unstemmed | Sharing whilst caring: solidarity and public trust in a data-driven healthcare system |
title_short | Sharing whilst caring: solidarity and public trust in a data-driven healthcare system |
title_sort | sharing whilst caring: solidarity and public trust in a data-driven healthcare system |
topic | Debate |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607840/ https://www.ncbi.nlm.nih.gov/pubmed/33143692 http://dx.doi.org/10.1186/s12910-020-00553-8 |
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