护士对设计,实施和采用机器学习临床决策支持的看法:一项描述性的定性研究
Ann M Wieben1, Bader G Alreshidi2, Brian J Douthit3
1University of Wisconsin-Madison School of Nursing, Madison, Wisconsin, USA.
概括
护士希望参与设计和实施机器学习临床决策支持 (ML CDS) 工具. 了解护士的观点是成功在护理实践中采用人工智能的关键.
科学领域:
- 护理信息学 护理信息学
- 医疗保健中的人工智能
- 人与计算机的交互
背景情况:
- 机器学习临床决策支持 (ML CDS) 在医疗保健中提供了潜在的好处.
- 了解最终用户的观点对于有效的技术集成至关重要.
研究的目的:
- 探索护士在ML CDS的设计,开发,实施和采用方面的观点.
- 确定影响ML CDS在护理实践中成功整合的因素.
主要方法:
- 一项涉及17名护士的定性描述性研究.
- 进行了半结构面试,并使用专题分析进行分析.
主要成果:
- 护士们强调了决策中的自主权,以及需要明确ML CDS的实用性.
- 之前与技术的经验影响了对新型CDS工具的偏好.
- 护士希望将其纳入ML CDS的设计和实施阶段.
结论:
- 护士对ML CDS实用性,可用性和对自主性的影响的看法至关重要.
- 参与开发和有效的变革管理对于ML CDS的采用至关重要.
- 结果为人工智能和机器学习在护理中的成功设计和采用提供了信息.
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