Key Ethical Questions for Consideration and Research Practice Recommendations to Support Synthetic Data Research.
The article focuses on ethical and practical considerations surrounding the use of artificial intelligence (AI)-generated synthetic data derived from real-world data (RWD) in clinical research, particularly in rare disease contexts. It highlights the potential benefits of synthetic data, such as red...
| Publicado en: | American Journal of Bioethics Vol. 26; no. 8; pp. 59 - 62 |
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| Formato: | commentary Journal Article |
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Taylor & Francis Ltd
Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195895401&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195895401 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15265161 FKZ jtl: American Journal of Bioethics issn: 15265161 maglogo: N pubinfo: dt: Aug2026 vid: 26 iid: 8 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 195895401 195895401 195895401 10.1080/15265161.2026.2690961 195895401 ppf: 59 ppct: 3 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Key Ethical Questions for Consideration and Research Practice Recommendations to Support Synthetic Data Research. aug: au: Hendricks-Sturrup, Rachele affil: Duke University sug: subj: Artificial Intelligence Ethical Issues Data Science Research Ethics Clinical Trials Patient Selection Research Subject Recruitment Conceptual Framework Bioethics Data Quality Privacy and Confidentiality Study Design Decision Making Research Question Consent (Research) ab: The article focuses on ethical and practical considerations surrounding the use of artificial intelligence (AI)-generated synthetic data derived from real-world data (RWD) in clinical research, particularly in rare disease contexts. It highlights the potential benefits of synthetic data, such as reducing patient enrollment burdens and improving demographic representation, while emphasizing the importance of assessing and mitigating biases inherited from original RWD sets using tools like APPRAISE. The discussion raises unresolved ethical questions about informed consent, patient education, and institutional review board (IRB) oversight related to synthetic data generation and use, including the concept of opt-out consent. Additionally, the article underscores the role of AI-based applications in improving the readability and accessibility of informed consent documents and patient education, advocating for institutional guidance to support these efforts. pubtype: Academic Journal doctype: commentary Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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