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NR 351 Week 6 Assignment; APA Scholarly Writing Paper - AI s Impact on Pediatric Nursing Practice

Chamberlain University Nursing NR 351 Transitions in Professional Nursing Boone Chevy 4 pages
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Kenzy Barrett Chamberlain University College of Nursing NR351: Foundational Concepts for the Practicing RN Amber Murphy December 7, 2025 1409700272390 APA Scholarly Writing Paper: The Impact of Artificial Intelligence on Pediatric Nursing Practice The purpose of this paper is to provide a summary of the Week 4 assigned article on artificial intelligence (AI) in pediatric health care and to address how technology helps or hinders nursing practice in relation to the article’s topic. This paper explores the major applications of AI in pediatric nursing, including early disease detection, remote monitoring, and clinical decision support, while examining nurses’ perceptions of AI and its potential influence on workflow, decision-making, and patient outcomes. Assigned Article Summary The article “Five ways artificial intelligence impacts pediatric health care” highlights five key AI applications that enhance pediatric nursing and patient care. AI-based predictive models can detect sepsis earlier by analyzing vital signs, laboratory data, and electronic health records, allowing rapid intervention and potentially improving survival rates. Remote monitoring and wearable devices track physiological parameters, enabling early identification of deterioration and reducing hospital visits. AI-assisted autism screening provides objective, data-driven assessments by analyzing behavioral and eye-tracking data. Clinical decision support systems reduce diagnostic errors and optimize treatment plans, while AI tools help non-specialized providers deliver pediatric care in underserved areas. Despite these advancements, AI implementation faces challenges such as bias, data quality, and the need for pediatric-specific validation. The article emphasizes that “AI-powered early warning systems can expedite key interventions, including antibiotic administration, fluid resuscitation, and escalation of care, significantly reducing time to treatment” (Kaylor, 2025, p. 204). Paraphrasing the authors, AI-driven models allow pediatric nurses to detect subtle clinical changes earlier than traditional methods, supporting timely intervention and improved patient outcomes (Kaylor, 2025). Impact of Technology on Nursing Practice A stu

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