ArticleInvestigacion y educacion en enfermeria2025
Challenges and implications of the use of artificial intelligence in health care, with an emphasis on nursing. Scoping review.
Article in Investigacion y educacion en enfermeria, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Objective: To review the literature related to ethics of artificial intelligence (AI) in healthcare, with a particular emphasis on its challenges and implications in nursing. Methods: Data bases including PubMed, Scopus, Web of Science, and CINAHL are reviewed. Inclusion criteria focused on English-language articles addressing AI ethics in healthcare, with priority given to empirical studies, World Health Organization (WHO) reports, and nursing-specific scholarship. General Search Items included artificial intelligence ethics, AI in healthcare challenges, nursing AI implications, algorithmic bias healthcare, informed consent AI, privacy data protection AI, and WHO AI guidelines, combined with Boolean operators (e.g., "AI AND nursing autonomy") and filters for publication date (post-2018) and article type (reviews, originals). Results: Most of the studies emphasizes that integration of Artificial intelligence provides substantial benefits for patients, medical professionals, and the overall healthcare framework. Like the improving the primary healthcare, cost reduction, and enhanced efficiency of medical and clinical processes and it also helps where human intelligence is needed i.e. analytical reasoning, acquiring knowledge, and decision-making. While it offers immense possibilities, this technology demands vast amounts of patient information, leading to concerns about confidentiality, protection, and other moral dilemmas. It also highlights the need for nurses to develop AI literacy and bias recognition to balance technological efficiency with humanistic care and ethical evaluation; enabling nurses to monitor unethical AI applications and ensure fairness in patient care. Conclusion: AI is revolutionizing the healthcare sector but demands robust ethical governance to mitigate harms like discrimination and privacy erosion. For nursing, proactive integration-via updated curricula and interdisciplinary policies-can foster safe, equitable AI adoption, ultimately advancing human dignity and health outcomes.
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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.