计算机化临床决策支持的实施中的集体代理:一个解释性描述研究研究
Manasha Fernando1, Sundresan Naicker1, Bridget Abell1
1Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, Qld, Australia.
JBI evidence implementation
|March 13, 2026
概括
实施计算机化临床决策支持系统 (CDSS) 需要吸引用户并促进协作. 成功取决于建立信任,调整工具,加强临床医生和研究人员之间的伙伴关系,以实现有效的数字健康整合.
科学领域:
- 医疗信息学 医疗信息学
- 实施科学 实施科学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 数字健康干预,如计算机化临床决策支持系统 (CDSS),在现实世界临床实践中面临着挑战.
- 障碍包括资源限制,工作流程中断和用户参与度不足.
- 了解专业人士如何克服这些实施障碍至关重要.
研究的目的:
- 探索将CDSS集成到常规的临床工作流程中.
- 确定影响CDSS实施知识成功转化为实践的上下文因素.
主要方法:
- 使用了解释性描述方法.
- 对32名参与者进行了半结构面试,对11名参与者进行了焦点小组.
- 参与者是健康信息学,实施科学和卫生服务研究方面的专家.
主要成果:
- 实施CDSS是一个由集体机构驱动的社会技术过程.
- 成功因素包括建立信任,促进合作,实现共享理解.
- 关键策略包括让利益相关者参与,创建可访问的工具,并加强临床-学术伙伴关系.
结论:
- 有机会开发用户友好的工具和强大的合作伙伴关系.
- 嵌入实用,经验知识对于成功采用CDSS至关重要.
- 建议包括建立反机制,正式协议和实施清单.
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