چکیده مقاله
Background Artificial intelligence AI is transforming pediatric and family nursing through enhanced diagnostics, personalized care plans, and family support Yet, ethical challenges including algorithmic bias, data privacy, and unequal access pose risks for vulnerable children, particularly those from marginalized communities Equity focused frameworks seek to ensure justice, fairness, and inclusivity in AI adoption, preventing the amplification of health disparities in hospitals and community care Objective To systematically review equity oriented ethical frameworks for AI in pediatric and family nursing, outlining their development, implementation, and effects on justice, and identifying gaps for future practice Methods Following PRISMA guidelines, a systematic search 2020 2025 was conducted in PubMed, CINAHL, Scopus, Web of Science, and PsycINFO Eligible publications included empirical studies, reviews, and policy analyses addressing bias mitigation, privacy, equity, and justice in AI applications for pediatric/family nursing Results Twenty two studies were included Core principles emphasized transparency, accountability, and inclusivity Strategies such as bias audits and participatory design improved equity scores by 25 40% in AI driven diagnostics While AI enhanced early disease prediction 85 95% accuracy for neonatal sepsis , biases disproportionately affected racial/ethnic minorities Nurse education programs boosted ethical competencies effect size: d= 0 65 Challenges included privacy breaches 15 30% prevalence and limited family involvement in AI design Integrated frameworks facilitated fair resource allocation and improved family centered outcomes RR = 1 45, 95% CI 1 20 1 75 Conclusion Equity centered AI ethics frameworks are crucial for fair and safe integration in pediatric and family nursing Recommendations include nurse led ethics training, systematic bias mitigation, and inclusive governance policies to align AI adoption with health equity goals
کلیدواژهها
نویسندگان
سیما پورتیمور
Patient Safety Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran
مهدی محمودزاده
Department of Pediatric Nursing, Faculty of Nursing and Midwifery, Khoy
ثنا خلیل زاده ضیاء
Department of Pediatric Nursing, Faculty of Nursing and Midwifery, Khoy
شیوه ارجاع
پورتیمور, سیما and محمودزاده, مهدی and خلیل زاده ضیاء, ثنا,1404,Digital Ethics in Care: Equity-Centered AI Frameworks in Pediatric and Family Nursing,37th International Congress on Pediatrics,Tehran
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