Enterprise AI Analysis
Nursing students metaphorical perceptions of the concept of "Artificial intelligence" and their views on the future of artificial intelligence
Artificial intelligence (AI) is significantly transforming the nursing profession, supporting decision-making mechanisms, and playing a crucial role in shaping future patient care practices. Understanding nursing students' perspectives on AI applications is vital for the effective integration of artificial intelligence into clinical practice and education. This qualitative descriptive study explored nursing students' metaphorical perceptions of artificial intelligence and their expectations for its future role in healthcare. Twenty nursing students from a university in Central Anatolia, Turkey, were purposively sampled using criterion sampling. Data were collected between November and December 2024. The interviews were conducted face-to-face by the researchers. Data were collected via semi-structured interviews and analysed through inductive content analysis with MaXQDA. The data were categorized into three main themes and twelve sub-themes: the future of artificial intelligence in healthcare, the contribution of artificial intelligence to public health, and the perceived risks and ethical challenges of artificial intelligence: (1) Future Use of AI in Healthcare, (2) The Contributions of AI to Public Health (3) Negative Reflections of AI in the Field of Health in the Future. Overall, students recognized AI's potential to improve healthcare quality and efficiency but expressed caution regarding its ethical and professional impacts. The findings emphasize the need to integrate balanced, critical AI content into nursing education to prepare nurses for technology-driven healthcare.
Executive Impact
This study highlights nursing students' diverse perceptions of AI's future role in healthcare. While acknowledging AI's potential to improve care quality, streamline workflows, and enhance decision-making, students also expressed significant concerns regarding employment impacts and the potential diminishment of humanistic care aspects. The findings underscore the critical need for integrating comprehensive and ethical AI content into nursing education to prepare future healthcare professionals for technology-driven environments.
20
Nursing Students Surveyed
3
Main AI Themes Identified
12
Sub-Themes Explored
80%
Students Recognizing AI Potential (%)
Deep Analysis & Enterprise Applications
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Improved Outcomes
Anticipated result from AI-assisted surgeries
Enterprise Process Flow
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Data Storage (Efficient)
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Data Accuracy (Enhanced by AI)
| Aspect | Perceived Opportunity | Expressed Concern |
|---|---|---|
| Employment | Reduced workload, focus on complex care | Job displacement, unemployment anxiety |
| Patient Care | Personalized care, medication reminders | Weakened human-patient communication |
| Health Literacy | Increased access to health info | Potential for over-reliance on AI, inactivity |
Case Study: Integrating AI into Nursing Curriculum
The study's findings underscore the urgent need for nursing education to adapt to the rapid advancements in AI. Future curricula must equip students not only with technical proficiency in using AI tools but also with a critical understanding of ethical implications, data privacy, and the preservation of humanistic care.
Strategic integration of AI content is crucial for preparing nurses for a technology-driven healthcare future.
This approach ensures that nurses can confidently engage with AI, maintaining patient safety and empathy while leveraging AI for enhanced efficiency and care quality.
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Your AI Implementation Roadmap
A structured approach to integrating AI into your nursing education and clinical practice, ensuring a smooth transition and maximum benefit.
Phase 1: Curriculum Assessment
Evaluate current nursing curricula to identify gaps in AI and technology education.
Phase 2: Stakeholder Collaboration
Engage nursing faculty, AI experts, and clinical practitioners to design integrated AI modules.
Phase 3: Pilot Program Launch
Implement pilot AI education modules in select courses and gather feedback for refinement.
Phase 4: Full-Scale Integration
Roll out revised AI content across all relevant nursing programs, supported by continuous professional development for educators.
Phase 5: Ethical Framework Development
Establish guidelines for ethical AI use in clinical practice, emphasizing human-centered care and patient safety.
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