基于人工智能的决策支持系统对重症监护病房护理工作流程的影响
1Medical and Surgical Nursing Department, Faculty of Nursing, University of Tabuk, Tabuk, Saudi Arabia.
International nursing review
|July 8, 2024
概括
人工智能 (AI) 决策支持系统 (DSS) 在改善重症监护室 (CCU) 护理工作流程,增强时间管理和患者监控方面表现有前途. 然而,为了有效地将人工智能整合到护理中,必须解决不充分的培训和数据隐私问题等挑战.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 护理信息学 护理信息学
- 人工智能在医学中的应用
背景情况:
- 医疗保健行业越来越多地采用人工智能 (AI) 技术来增强患者护理.
- 护理是医疗保健提供的一个关键组成部分,它将从人工智能集成中获益显著.
- 基于人工智能的决策支持系统 (DSS) 有潜力改变重症监护室 (CCU) 的操作流程.
研究的目的:
- 检查基于人工智能的DSS对CCU护士的操作流程的影响.
- 确定与在CCU护理工作流程中采用AI相关的感知好处和挑战.
- 评估培训的充分性,并确定在重症监护机构有效利用人工智能的障碍.
主要方法:
- 在约旦安曼进行了横截面分析.
- 从112名注册护士那里收集了数据,使用一个月的时间进行调查.
- 调查评估了护理工作流程,人工智能利用,遇到的问题和培训充足度.
主要成果:
- 护士报告说,基于人工智能的DSS对时间管理,患者监测和临床决策产生了有利的影响.
- 在多样化的参与者群体中,观察到人工智能技术的显著采用.
- 主要挑战包括培训不足,数据隐私问题和技术困难.
结论:
- 全面的培训计划和强大的支持机制对于成功地将AI整合到CCU护理中至关重要.
- 解决已识别的障碍对于最大限度地利用人工智能来提高患者护理成果至关重要.
- 人工智能系统的持续改进是必要的,以优化其有效性,并确保在医疗保健中进行道德,高效的使用.
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