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Nurses' Perspectives on AI in Clinical Practice: Implications for Training and Workforce Development
Monica Lansdowne1, Jessica Sperling2, Kay S Lytle3
1Nursing Program Informatics, Duke University School of Nursing Durham, North Carolina.
Abstract:
This study explored nurses' perspectives on the adoption and utilization of artificial intelligence (AI) in clinical practice within a large university-affiliated health system in the southeastern United States. Through a survey enriched by open-ended questions, we captured the unique concerns and suggestions of nursing professionals regarding the deployment of AI technologies in a range of clinical settings. The majority of nurses have limited exposure to and experience with generative and predictive AI tools. In addition, they have concerns about the availability of related training opportunities, AI process integration, and ethical implications of AI implementation. There are critical workforce development needs and substantial opportunities for enhanced training to incorporate both ethical considerations and technical skills. This research illuminates the perspective and experience of nurses using AI. Specifically, it provides insights into the nursing workforce's readiness to adopt and utilize AI in clinical practice. This research also informs the integration of AI-focused curriculum and professional development for nurses. Specifically, more structured training is needed for nurses to use AI responsibly. Nurse administrators should be aware of the hesitations and concerns of this large population, as nurses are ultimately the front-line end users.
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