关于健康科学中的患者安全的分类学开发方法 - - 一项系统性审查
Tiina Syyrilä1, Saija Koskiniemi1, Elizabeth Manias2
1Department of Nursing Science, University of Eastern Finland, Finland.
International journal of medical informatics
|April 5, 2024
概括
开发强大的医疗保健分类学对于患者安全至关重要. 本次审查突出了当前方法的差距,并为未来的分类学发展提出了一个结构化的方法,以改善数据分析.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 临床数据分析 临床数据分析
- 患者安全研究 患者安全研究
背景情况:
- 临床数据的自动分析需要标准化的分类学.
- 现有的对健康科学中分类学发展方法的审查是有限的.
- 本系统性审查涉及患者安全分类学和其开发方法的范围.
研究的目的:
- 系统地审查与患者安全相关的现有分类法.
- 描述卫生科学分类学开发中使用的方法.
- 确定当前分类学开发方法的优点和局限性,以指导未来的项目.
主要方法:
- 在CINAHL,PubMed,Scopus和Web of Science的系统文献搜索 (2012年1月至2023年4月).
- 两位作者使用预定义的包含/排除标准和评估检查清单进行研究选择.
- 归纳式数据分析与结果的叙事报告.
主要成果:
- 13项研究主要集中在不良事件和药物安全分类学上,在专业领域和IT领域的覆盖范围有限.
- 报告指出,对分类学开发方法的报告不足.
- 确定了十个开发阶段,多方法/多利益相关者方法和试点作为优势,而测试中的时间消耗和小样本大小是限制.
结论:
- 需要在不同的医学专业和健康信息技术中建立新的分类法,以提高患者安全.
- 结构化的分类发展,报告和评估方法对于提高质量至关重要.
- 拟议的分类学开发指南需要进一步的测试和验证.
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