Problem:
Offer thoughtful insights or suggest resources that may help further explore AI's role in enhancing competencies or addressing healthcare challenges. Support your responses. Advanced practice nursing requires mastery in patient assessment, evidence-based practice, and interprofessional collaboration. The integration of artificial intelligence (AI) into healthcare has the potential to strengthen each of these competencies. For instance, IBM Watson for Oncology, an AI-driven clinical decision support systems (CDSS) analyze patient histories, imaging, and research data to generate personalized treatment recommendations, particularly in cancer care. CDSS enhances both accuracy and efficiency in clinical decision-making by assisting clinicians in reviewing complex cases and synthesizing up-to-date evidence (Udegbe et al., 2024). Similarly, natural language processing (NLP) tools help nurses and providers access evidence-based guidelines rapidly, reducing time spent searching for best practices and supporting timely patient care (Kaul et al., 2020). Interprofessional collaboration is also improved when AI platforms create shared dashboards that integrate predictive insights, allowing all team members to work from a unified, evidence-informed care plan. Despite these advantages, ethical challenges remain significant. Algorithmic bias is a primary concern, as AI trained on incomplete or skewed datasets may produce inaccurate recommendations for minority and underserved populations. Need Assignment Help?