ArticleThe Hastings Center report2024
Synthetic Health Data: Real Ethical Promise and Peril.
Article in The Hastings Center report, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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
17 citing papers in PubMed.
- Artificial Intelligence-Generated Synthetic Data in Healthcare: A False Promise for Underserved Populations?Bioethics · 2026Article
- Generative artificial intelligence in animal genomics for smart agriculture: Applications, challenges, and future prospects.Veterinary and animal science · 2026Review
- Synthetic Medical Data vs. The Four Principles: Ethical Trade-Offs and Zombie Data.Health care analysis : HCA : journal of health philosophy and policy · 2026Article
- Artificial Intelligence in Rare Diseases: Workflow-Integrated Precision Kidney Care.Clinics and practice · 2026Review
- The Need for Benchmarks to Advance AI-Enabled Player Risk Detection in Gambling.Journal of gambling studies · 2026Article
- An ELIXIR scoping review on domain-specific evaluation metrics for synthetic data in life sciences.NAR genomics and bioinformatics · 2026Article
- Innovation and policy challenges of AI-drug hybrids.Nature biotechnology · 2026Article
- Synthetic data generation of health and demographic surveillance systems data: a case study in a low- and middle-income country.JAMIA open · 2025Article
- The Role of Synthetic Data and Generative AI in Breast Imaging: Promise, Pitfalls, and Pathways Forward.Diagnostics (Basel, Switzerland) · 2025Review
- Synthetic data, synthetic trust: navigating data challenges in the digital revolution.The Lancet. Digital health · 2025Review
- Synthetic data in medical imaging within the EHDS: a path forward for ethics, regulation, and standards.Frontiers in digital health · 2025Review
- Ethical, Legal, and Social Issues in Metaverse-Enabled Healthcare.Blockchain in healthcare today · 2025Review
- Synthetic data and ELSI-focused computational checklists-A survey of biomedical professionals' views.PLOS digital health · 2024Article
- Synthetic Health Data: Real Ethical Promise and Peril.The Hastings Center report · 2024Article
- Digital Twins in Translational Research and Health Care: An Anthropological Perspective.Ethics & human researchArticle
- Review
- Natural Language Processing in Clinical Research Recruitment: A Scoping Review Enriched with Stakeholder Insights.Ethics & human researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Researchers and practitioners are increasingly using machine-generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while-potentially-mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use.
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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.