ReviewInternational journal of environmental research and public health2020
Sharing Is Caring-Data Sharing Initiatives in Healthcare.
Review in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
What it found
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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
53 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Innovative Policy Supports for Integration in Health and Social Care Focused on Culturally and Linguistically Diverse Populations in Australia: A Qualitative Study.Journal of immigrant and minority health · 2025Article
- Research status and progress of deep learning in automatic esophageal cancer detection.World journal of gastrointestinal oncology · 2025Review
- Patient data for commercial companies? An ethical framework for sharing patients' data with for-profit companies for research.Journal of medical ethics · 2025Article
- Balancing Privacy, Trust, and Equity: Patient Perspectives on Substance Use Disorder Data Sharing.International journal of environmental research and public health · 2025Article
- Advancing Health Equity Through Substance Use Medical Record Data Sharing: Insights from Healthcare Providers.International journal of environmental research and public health · 2025Article
- Data collaboration for causal inference from limited medical testing and medication data.Scientific reports · 2025Article
- Implementation report on pioneering federated data access for the German National Emergency Department Data Registry.NPJ digital medicine · 2025Article
- Dataset Distillation in Medical Imaging: A Feasibility Study.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Towards Integrated and Quality-assured Health Service Delivery: Making a Case for Health Smart Card in the Philippines.Acta medica Philippina · 2025Article
- Privacy preservation in blockchain-based healthcare data sharing: A systematic review.Peer-to-peer networking and applications · 2025Review
- Pain Medicine Needs an Open-Access Data Revolution.Journal of pain research · 2025Article
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- Lessons for a learning health system: Effectively communicating to patients about research with their health information and biospecimens.Learning health systems · 2025Article
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- GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics.BMC medical informatics and decision making · 2024Article
- ICT in Nursing and Patient Healthcare Management: Scoping Review and Case Studies.Sensors (Basel, Switzerland) · 2024Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, more and more health data are being generated. These data come not only from professional health systems, but also from wearable devices. All these 'big data' put together can be utilized to optimize treatments for each unique patient ('precision medicine'). For this to be possible, it is necessary that hospitals, academia and industry work together to bridge the 'valley of death' of translational medicine. However, hospitals and academia often are reluctant to share their data with other parties, even though the patient is actually the owner of his/her own health data. Academic hospitals usually invest a lot of time in setting up clinical trials and collecting data, and want to be the first ones to publish papers on this data. There are some publicly available datasets, but these are usually only shared after study (and publication) completion, which means a severe delay of months or even years before others can analyse the data. One solution is to incentivize the hospitals to share their data with (other) academic institutes and the industry. Here, we show an analysis of the current literature around data sharing, and we discuss five aspects of data sharing in the medical domain: publisher requirements, data ownership, growing support for data sharing, data sharing initiatives and how the use of federated data might be a solution. We also discuss some potential future developments around data sharing, such as medical crowdsourcing and data generalists.
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What OpenQuestion holds
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.