Enterprise AI Analysis
Exploring the experiences and perceptions of nursing students in utilizing artificial intelligence: a descriptive phenomenological study
This study delves into the lived experiences of nursing students interacting with Artificial Intelligence in clinical settings, providing critical insights for future AI integration in healthcare education and practice.
Abstract: Artificial intelligence is transforming healthcare by enhancing diagnostics, efficiency, and outcomes. Evaluating nursing students' knowledge helps identify educational gaps, as they directly engage in patient care and decision-making. This study explored their experiences with using artificial intelligence in clinical settings. A descriptive phenomenological approach was employed to recruit eight nursing students from the School of Nursing and Midwifery in Kermanshah-Iran, all of whom had prior experience with artificial intelligence applications in clinical settings. Participants were selected purposefully and underwent in-depth, semi-structured interviews. Eight interview sessions lasting 60-70 min each were conducted, with data saturation achieved after the eighth interview. The data were analyzed using Colaizzi's seven-step method, ensuring adherence to Guba and Lincoln's criteria for trustworthiness throughout the research process. Data management was facilitated using MAXQDA 20 software. Data analysis yielded 450 initial codes, 5 sub-themes, and 4 themes. The themes identified were: (1) Novel Potentials and Broad Horizons of Artificial Intelligence, (2) Ethical and Security Challenges In The World of Artificial Intelligence, (3) Changes in Human Identity and Social Relationships In The Age of Artificial Intelligence, and (4) Enhancing and Reinventing Skills for Coexistence With Artificial Intelligence. The study revealed that nursing students recognize the potential of artificial intelligence to enhance precision and efficiency in patient care. However, they emphasized the need for further education and the removal of barriers to its effective implementation.
Executive Impact Summary
Key findings distilled for leaders to understand the current landscape and future implications of AI in nursing.
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Initial Codes Identified
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Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Novel Potentials
Ethical & Security
Human Identity
Skills Reinvention
AI as Facilitator
Novel Potentials and Broad Horizons of AI
Nursing students recognized AI as a transformative force, capable of optimizing efficiency and enhancing accuracy in patient care. This includes automating repetitive tasks like record-keeping and vital sign monitoring, thereby freeing up nurses to focus on compassionate, human-centered care. AI also opens new career paths in data management and remote care, contributing to global healthcare advancements.
Ethical and Security Challenges In The World of AI
The integration of AI in nursing brings significant ethical and security concerns, especially regarding patient data privacy. Nursing students emphasized the need for robust security standards, transparency in AI decision-making, and legal frameworks to prevent misuse or cyberattacks, ensuring patient trust in AI systems.
Changes in Human Identity and Social Relationships In The Age of AI
Students expressed concern about the potential decrease in human interaction, stressing that empathy, emotional understanding, and human connection are irreplaceable aspects of nursing care. AI should serve as a complementary tool, freeing nurses to enhance these human elements rather than replacing them, especially in sensitive patient care scenarios.
Enhancing and Reinventing Skills for Coexistence With Artificial Intelligence
The study highlighted an educational gap, emphasizing the need for nursing students to acquire new skills for effective AI utilization. This includes familiarity with health information management systems, data analysis, and intelligent monitoring tools, alongside strong communication skills to explain AI insights to patients.
AI As A Facilitator And Supporter In Human Care
Nursing students perceive AI as a valuable tool to support the caregiving process. By automating routine and time-consuming tasks, AI enables nurses to dedicate more time to direct human care, ultimately improving the accuracy and efficiency of care delivery while enhancing patient satisfaction.
Enterprise Process Flow: Colaizzi's Seven-Step Method
1- Familiarization
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2- Extraction of Significant Statements
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3- Formulation of Meanings
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4- Organization into Theme Clusters
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5- Exhaustive Description
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6- Identification of Fundamental Structure
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7- Validation of Findings
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Nursing Students Interviewed for this Qualitative Study
| Aspect | Nursing Students' Perspective (This Study) | Practicing Nurses' Perspective (Abollahi et al. 2024) |
|---|---|---|
| Clinical Experience | Limited clinical experience, leading to more superficial and optimistic views on AI capabilities. | Greater clinical experience, views shaped by daily exposure to complexities of human interactions in healthcare. |
| Role in Decision-Making | Primarily in supportive and educational roles, not directly involved in major clinical AI decision processes. | More direct involvement in clinical care, impacting perceptions of AI's practical application and limitations. |
| Human Interaction | Believe AI should complement human interaction, freeing time for empathy. Some concerns about reduced human interaction. | Believe AI cannot replace human relationships in nursing; 70% stated AI could not replace human interactions. |
AI Streamlines Nursing Workflow: Participant Insights
Nursing students highlighted AI's significant potential to revolutionize daily nursing tasks, allowing for a stronger focus on patient care. As Participant Number Two stated, "AI can play a significant role in the daily tasks of nurses. These technologies can assist us in analyzing and processing data... This not only helps us make faster diagnoses but also aids in treatment planning... enabling nurses to focus more on patient care, thereby improving the quality of the services they provide."
Echoing this sentiment, Participant Number Six remarked, "AI can help nurses by automating routine tasks such as documenting patient information or monitoring vital signs. This would allow nurses to dedicate more time to direct patient care and improve the overall efficiency of the healthcare process." These insights underscore AI's role in enhancing precision, efficiency, and ultimately, patient outcomes by alleviating repetitive burdens on healthcare professionals.
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Your AI Implementation Roadmap
A phased approach to integrate AI effectively, addressing both technological and human factors identified in the research.
Phase 1: Needs Assessment & Pilot
Conduct a thorough assessment of current nursing workflows and identify specific areas where AI can alleviate repetitive tasks and enhance decision-making. Develop a small-scale pilot project in a controlled clinical environment to test AI applications.
Phase 2: Training & Skill Development
Implement comprehensive training programs for nursing staff and students, focusing on AI literacy, data interpretation, and ethical considerations. Emphasize combining technological proficiency with human-centered care skills.
Phase 3: Secure Infrastructure & Policy
Establish robust data security protocols and legal frameworks to protect patient privacy and ensure data integrity. Develop clear policies for AI system transparency and accountability in clinical decision support.
Phase 4: Scaled Integration & Monitoring
Gradually expand AI implementation across relevant departments, continuously monitoring performance, user feedback, and patient outcomes. Adapt systems and training based on real-world experiences to optimize benefits.
Phase 5: Ethical Oversight & Continuous Improvement
Institute an ongoing ethical review process for AI applications. Foster a culture of continuous learning and adaptation, keeping pace with AI advancements while reinforcing the irreplaceable value of human empathy and interaction in nursing.
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