The Digital Ummah and Ethical Artificial Intelligence in Nigerian Healthcare: A Narrative Critical Review
Keywords:
Artificial intelligence, Digital health, Islamic bioethics, Nigeria, Universal health coverageAbstract
Introduction: Artificial intelligence and digital health are now central to discussions on universal health coverage, service quality and health-system accountability. The digital health, frames digital technologies as tools for access, personalised care, patient engagement, privacy, affordability, equity and transparent information. These tools are limited in meeting the spiritual and ethical healthcare needs of Muslims This review develops that argument into a Nigerian healthcare ethics and health-system paper. It asks how Islamic moral reasoning can guide artificial intelligence without weakening plural citizenship, professional standards or scientific validation. Methodology: This was a narrative critical review. Peer-reviewed literature and official policy documents on artificial intelligence ethics, Islamic bioethics, Nigerian digital health, health financing, data protection and universal health coverage were purposively reviewed. The synthesis focused on content relevance, ethical coherence and reference integrity. Results: Six linked themes were identified as essential to meet the Digital Ummah needs. First, the Digital Ummah concept usefully places access, affordability, privacy, transparency and equity at the centre of technological change. Second, Islamic healthcare ethics can be translated into artificial intelligence governance through hifz al-nafs, hifz al-aql, hifz al-mal, adl, amanah, ihsan, la darar, shura and maslahah. Third, Nigeria requires artificial intelligence to serve practical health functions, including enrolment, risk pooling, benefit design, provider payment, clinical decision support, claims review, public health surveillance and patient engagement. Fourth, the source presentation underdevelops actuarial design, adverse selection, provider incentives, lifecycle regulation, clinical validation, interoperability and inclusion. Fifth, implementation must be adapted to Muslim-majority states, mixed communities, rural settings and urban plural environments. Sixth, this paper proposes the AMANA-AI Health Architecture Model as a framework for integrating Islamic ethics, responsible artificial intelligence and Nigeria’s digital health architecture. Conclusion: Artificial intelligence for the Ummah should not be treated as a collection of attractive digital tools. It should be governed as a justice-sensitive, evidence-based and culturally grounded health-system intervention. Nigeria needs locally validated artificial intelligence, strong data protection, inclusive digital infrastructure, accountable provider incentives and plural governance that protects Muslims and non-Muslims alike.