Ethical Considerations in the Application of Artificial Intelligence in Health Systems: A Narrative Review

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in healthcare, enabling the management of vast data volumes and predictive analysis of the future of issues to support decision-making. This narrative review examines ethical dimensions of AI integration in health systems, drawing from articles published from January 1, 2000 to November 30, 2023, across seven databases—Cochrane Library, PubMed, SCOPUS, Science Direct, BMJ Journals, ProQuest, and SAGE. Using Boolean operators such as “AI” paired with “health”, “health system”, or “hygiene”, the study identifies critical ethical concerns including the preservation of human dignity, confidentiality, informed consent, and the dual principles of beneficence and nonmaleficence. It further highlights systemic challenges like algorithmic bias, transparency gaps in decision-making processes, and disruptions to social justice, alongside legal complexities surrounding accountability for errors, fraud, and compensatory mechanisms. To address these challenges, the study advocates for multilayered solutions. These include establishing ethical audits, formulating policies to ensure equitable global access to AI benefits, and enforcing robust data protection frameworks. Designers are urged to develop comprehensive systems safeguarding patient confidentiality and extending privacy protections to healthcare personnel and affiliated individuals. International regulatory standards must align with social and ethical norms rooted in human dignity, while frameworks for error identification and damage compensation should be prioritized. Continuous adaptation of AI capabilities to evolving medical expertise, coupled with strict adherence to ethical guidelines, is emphasized as essential for sustainable integration of AI in healthcare systems.

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