Transcultural Nursing and Artificial Intelligence: What You Need to Know
Amber McCall, PhD, APRN, FNP-BC
Sandra Inglett, PhD, BSN, RN
Jane Garvin, PhD, APRN, FNP-BC
Wanda Taylor, PhD, BSN, RN
Purpose:
The purpose of this work is to communicate current use, potential problems, and future indications of artificial intelligence (AI) in the areas of transcultural nursing practice, education, research, administration, and policymaking.
Contributes to Transcultural Nursing: practice, education, research, administration, and policymaking.
This work contributes to transcultural nursing (TN) practice in that AI is being used and will continue to be used for nurses working in various transcultural roles (Karkhah et al., 2022). This work also impacts TN education, as students will no doubt use AI in their coursework (Ng et al., 2022). Faculty and administrators must understand the scope to which AI is available and to what extent it can produce human-like end products (i.e., original papers with reliable citations). Individuals working in TN administration, including academia and practice, must understand how systems use AI, be able to discern potential problems (i.e., data privacy) with AI, and develop policies for proper AI use (Ching-Yi et al., 2022). TN policymakers must understand how AI can help them cost-effectively gather data for their proposals. This will save time and help stakeholders share up-to-date data with policymakers (Moen et al., 2022). Nurses also need to be informed to advise policymakers about the legalities associated with the use of AI in various nursing settings (i.e., education, practice) (Da Silva et al., 2022).
Significance to transcultural nursing:
The information provided is significant to transcultural nursing as it highlights the need to understand how AI is used, its potential pitfalls, and how powerful it can be. This information is currently and will continue to impact nurses and clients in every culture across the globe.
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