护士对障碍结构和促进数字健康转型战略的观点:一种解释性的结构建模方法
Naotaka Sugimura1,2, Kazuki Ohashi3, Tomoki Kuribara4
1Graduate School of Health Sciences, Hokkaido University, Sapporo.
Computers, informatics, nursing : CIN
|January 6, 2026
概括
数字健康转型面临着复杂的障碍. 这项研究确定和结构化了这些障碍,揭示了护理的障碍.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健管理的管理
- 护理研究 护理研究
背景情况:
- 数字健康转型带来了复杂的,多方面的障碍.
- 了解这些障碍对于在医疗保健系统中成功实施至关重要.
- 以前的研究还没有系统地组织这些挑战.
研究的目的:
- 识别和阐明数字健康转型障碍之间的关系.
- 开发一个全面的模型来理解这些障碍.
- 为有效的数字健康战略开发提供见解.
主要方法:
- 利用解释性结构建模 (ISM) 和应用到分类 (CIM) 的交叉影响矩阵乘法进行分析.
- 与3名护理研究人员进行头脑风暴会议,以确定11个关键障碍.
- 数学处理的屏障元素构建一个层次结构图.
主要成果:
- 确定了数字健康转型的11个明显障碍.
- 开发了一个层次结构图,可视化屏障之间的关系.
- 使用CIM分析进行分类障碍特征,确认内容有效性.
- 成功地将多层障碍组织成一个易于理解的综合模型.
结论:
- 护理部门的组织文化对于推动数字健康转型至关重要.
- 临床,发展和政策利益相关者之间的合作是必不可少的.
- 未来的战略应该采用灵活的方法,如SWOT分析和决策试验和评估实验室 (DEMATEL).
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