Evolution of Artificial Intelligence in Perioperative Nursing: A Mixed-Methods Study of Nurses' Perspectives and Future Directions
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 183
- 试验地点
- 1
- 主要终点
- Perception of Artificial Intelligence (SHAIP Score)
研究概览
简要总结
This mixed-methods study aims to assess current perspectives, attitudes, and preparedness of perioperative nurses regarding the integration of artificial intelligence (AI) in clinical practice. The study targets nurses working in surgical wards and operating rooms to explore AI utilization, perceived usability, professional impact, and readiness for future implementation. Quantitative and qualitative data will be collected concurrently and integrated to generate comprehensive insights into AI adoption and future directions in perioperative nursing.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Licensed registered nurses
- •Minimum 6 months of perioperative experience
- •Currently working in surgical wards or operating rooms
- •Direct involvement in patient care
排除标准
- 未提供
研究组 & 干预措施
Surgical Ward and Operating Room Nurses
Registered nurses working in operating rooms and Surgical Ward
干预措施: No interventions (observational study) (Other)
结局指标
主要结局
Perception of Artificial Intelligence (SHAIP Score)
时间窗: At baseline survey assessment
Assessment of nurses' perception of AI professional impact and preparedness
次要结局
- Usability of AI Systems (SUS Score)(At baseline survey assessment)
- Attitudes Toward AI (AIASN Score)(At baseline survey assessment)
- Qualitative Themes on AI Use(At baseline survey assessment)
研究者
Mohamed Fakhry Ahmed Salem
Lecturer of Medical-Surgical Nursing
Alexandria University