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10 papers analyzed
These studies suggest that the ethical considerations in the use of big data in healthcare research include informed consent, privacy, data ownership, trust, equitable benefit distribution, and the need for dynamic consent and co-governance systems.
19 papers analyzed
The use of big data in healthcare research has the potential to revolutionize medical practice by enabling more precise and personalized treatments. However, it also raises significant ethical concerns that need to be carefully addressed to protect individuals and ensure equitable benefits. This synthesis highlights the key ethical considerations identified in the literature.
Informed Consent and Autonomy
Privacy and Data Protection
Equity and Non-Discrimination
Trust and Transparency
Ownership and Control of Data
Ethical Oversight and Governance
Epistemological and Methodological Challenges
The ethical use of big data in healthcare research requires careful consideration of informed consent, privacy, equity, trust, data ownership, and ethical oversight. Addressing these concerns through dynamic consent models, robust data protection measures, equitable data practices, transparent communication, clear data ownership policies, and comprehensive ethical oversight can help maximize the benefits of big data while minimizing potential harms.
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