Artificial Intelligence in Pediatric Practice: Controversies, Policy, and Practical Pointers forNurse Practitioners

Area of Science:

• Pediatric Healthcare Technology
• Artificial Intelligence in Medicine
• Nursing Informatics

Background:

• Rapid advancements in Artificial Intelligence (AI) are impacting healthcare delivery.
• Pediatric nurse practitioners (PNPs) require enhanced preparation for AI integration into clinical practice.
• Existing frameworks for AI governance and patient involvement in data decisions are insufficient.

Purpose of the Study:

• To provide foundational AI literacy for healthcare professionals, particularly PNPs.
• To examine the necessity for robust policy frameworks, collaborative governance, and patient engagement in AI development and deployment.
• To highlight the role of PNPs in advocating for equitable, transparent, and accountable AI systems.

Main Methods:

• Literature review of recent studies on AI in pediatric healthcare.
• Analysis of current challenges and opportunities for AI implementation.
• Discussion of practical clinical considerations and ethical implications.

Main Results:

• AI literacy is essential for understanding AI mechanisms, training data influence, and algorithmic bias.
• Urgent need for comprehensive policies and collaborative governance structures.
• Patient engagement in training data decisions is critical for equitable outcomes.

Conclusions:

• PNPs must possess AI literacy to navigate the complexities of AI in pediatric care.
• Advocacy by PNPs is vital for shaping ethical and effective AI systems.
• Addressing policy gaps and ensuring patient involvement are key to responsible AI adoption.