Abstract
Predicted demographic changes in the rising older than 65 populations with possible declining mental and physical health mandate adaptations to new professional nursing roles that will incorporate technology, and changing policy environments. Nursing experience, knowledge, and skills will transition to new cognitive pathways to think and process information. Nurses will be supported by artificial intelligence (AI) technologies and become information integrators, health coaches, and continue to be deliverers of human caring. New transition pathways in nursing education to meet the needs of these diverse populations, and patient complex presentations will transcend to synergizing and optimize digital-age healthcare environments and assure preservation of evidence-based pathways of patient-centered care.
Recommended Citation
Marcus, Jamie Anne; Webb, Bonnette Villalba; and Villarroya, Abigail Pauline Batin
(2025)
"Artificial Intelligence (AI) Additions to Nursing Education: Accommodating the Complexity of Today’s Populations and Assuring Evidence-Based Pathways of Patient-Centered Care,"
FDLA Journal: Vol. 9, Article 32.
Available at:
https://nsuworks.nova.edu/fdla-journal/vol9/iss1/32
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