ArticleAsian bioethics review2019
Big Data and Public-Private Partnerships in Healthcare and Research: The Application of an Ethics Framework for Big Data in Health and Research.
Article in Asian bioethics review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The ethical and legal landscape of brain data governance.PloS one · 2022Pooled it
- Targeting everyday decision makers in research: early career researcher and patient and public involvement and engagement collaboration in an AI-in-healthcare project.Research involvement and engagement · 2025Article
- A scoping review of ethical aspects of public-private partnerships in digital health.NPJ digital medicine · 2025Article
- Article
- Public Involvement and Engagement in Big Data Research: Scoping Review.Journal of participatory medicine · 2024Article
- Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices.Journal of personalized medicine · 2024Article
- Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research.BMC medical ethics · 2024Article
- Building a Sustainable Learning Health Care System for Pregnant and Lactating People: Interview Study Among Data Access Providers.JMIR pediatrics and parenting · 2024Article
- Talking Ethics Early in Health Data Public Private Partnerships.Journal of business ethics : JBE · 2024Article
- Participatory evaluation of the process of co-producing resources for the public on data science and artificial intelligence.Research involvement and engagement · 2023Article
- Use of Population-Level Administrative Data in Developmental Science.Annual review of developmental psychology · 2022Article
- Public attitudes towards sharing loyalty card data for academic health research: a qualitative study.BMC medical ethics · 2022Article
- Longitudinal research in Aotearoa New Zealand using the Integrated Data Infrastructure: a review.Journal of the Royal Society of New Zealand · 2022Review
- Critical Problems for Research in Animal Sheltering, a Conceptual Analysis.Frontiers in veterinary science · 2022Review
- Religious Perspectives on Precision Medicine in Singapore.Asian bioethics review · 2021Article
- The social licence for data-intensive health research: towards co-creation, public value and trust.BMC medical ethics · 2021Review
- Ethics review of big data research: What should stay and what should be reformed?BMC medical ethics · 2021Review
- Data Integration Challenges for Machine Learning in Precision Medicine.Frontiers in medicine · 2021Review
- Considerations for an integrated population health databank in Africa: lessons from global best practices.Wellcome open research · 2021Article
- The Academic Viewpoint on Patient Data Ownership in the Context of Big Data: Scoping Review.Journal of medical Internet research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Public-private partnerships (PPPs) are established to specifically harness the potential of Big Data in healthcare and can include partners working across the data chain-producing health data, analysing data, using research results or creating value from data. This domain paper will illustrate the challenges that arise when partners from the public and private sector collaborate to share, analyse and use biomedical Big Data. We discuss three specific challenges for PPPs: working within the social licence, public antipathy to the commercialisation of public sector health data, and questions of ownership, both of the data and any resulting intellectual property or products. As a specific example we consider the case of the UK National Health Service (NHS) providing patient data to Google's DeepMind AI program to develop a diagnostic app for kidney disease. This article is an application of the framework presented in this issue of ABR (Xafis et al. 2019). Please refer to that article for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. We use four specific values to help analysis these issues: public benefit, stewardship, transparency and engagement. We demonstrate how the Deliberative Framework can support ethical governance of PPPs involving biomedical big data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.