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Updated: Jul 9, 2025

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

感知障碍和促进者,以试点实施一个算法支持的护理导航模型的护理:一个定性研究

Rebecca K Pang^1,2,3, Nadine E Andrew^1,2,3, Velandai Srikanth^1,2,3

¹Department of Medicine, Peninsula Clinical School, Central Clinical School, Monash University, Frankston, VIC 3199, Australia.

Healthcare (Basel, Switzerland)

|December 8, 2023

概括

算法支持的护理导航模型需要不仅仅是算法才能成功实现. 解决医疗服务文化,领导和资源对于患者护理和可持续采用至关重要.

科学领域:

医疗保健服务研究医疗服务研究
数字健康实施方案的实施
患者护理模式的模型

背景情况:

算法支持的护理导航模型旨在通过识别高风险再入院的个体来改善患者的治疗结果.
这种模型的试点实施在维多利亚州的卫生服务中进行,以评估其可行性和影响.

研究的目的:

探索管理人员和项目人员对算法支持的护理导航模型试点实施的看法.
确定影响该模型成功融入临床实践的推动因素和障碍.

主要方法:

与参与试点的经理和临床医生进行了半结构化访谈 (n=6).
采访被逐字转录,并使用带有诱导和演技术的框架方法进行分析.
卫生服务研究实施的综合促进行动 (i-PARIHS) 框架被用来绘制确定的主题.

主要成果:

确定的主要主题包括:仅仅算法的不足,卫生服务文化的重要性,领导力和资源配置,以及感知到的患者体验.
参与者认识到算法在准高风险患者中的价值,但强调需要同时关注上下文因素.
该研究强调,卫生服务能力是大规模实施成功的关键决定因素.

结论:

成功实施算法支持的护理导航需要采用整体方法,解决技术,文化和资源相关方面的问题.
为了在医疗保健机构中可持续实施这些模型,正式促进是必不可少的.
了解障碍物和促进因素对于改进和扩展算法支持的护理模型来实现更广泛的采用至关重要.

关键词:

护理导航护理导航在医院重新入院.我-PARIHSHS 在这里.风险算法风险算法工作人员的感知工作人员的感知

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