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AuthorSolaiman, Barry
AuthorMekki, Yosra Magdi
AuthorQadir, Junaid
AuthorGhaly, Mohammed
AuthorAbdelkareem, Mohamed
AuthorAl-Ansari, Abdulla
Available date2025-08-31T08:24:31Z
Publication Date2025-06-05
Publication NameNpj Digital Medicine
Identifierhttp://dx.doi.org/10.1038/s41746-025-01614-1
CitationSolaiman, B., Mekki, Y. M., Qadir, J., Ghaly, M., Abdelkareem, M., & Al-Ansari, A. (2025). A “True Lifecycle Approach” towards governing healthcare AI with the GCC as a global governance model. npj Digital Medicine, 8(1), 337.
ISSN2398-6352
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105007612172&origin=inward
URIhttp://hdl.handle.net/10576/66929
AbstractThis paper proposes a “True Lifecycle Approach” (TLA) towards governing healthcare AI. The TLA governance model embeds core healthcare law principles—like informed consent, liability, and patient rights—throughout AI’s development, deployment, and use. Unlike narrow risk-based frameworks, the TLA seeks to ensure accountability and trust by aligning with foundational healthcare standards. Using Gulf Cooperation Council (GCC) countries as examples, the paper shows how integrating law and ethics across the entire AI lifecycle offers a more robust, patient-centered model of governance than existing approaches.
SponsorThis work was supported by Hamad Bin Khalifa University (HBKU) Thematic Research Grant 1st Cycle—Project Number: VPR-TG01-001. This work received partial support from QU HIG 23/24-127.
Languageen
PublisherSpringer Nature
Subjectartificial intelligence
GCC
TitleA “True Lifecycle Approach” towards governing healthcare AI with the GCC as a global governance model
TypeArticle
Issue Number1
Volume Number8
ESSN2398-6352
dc.accessType Open Access


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