影响医疗保健服务中大数据使用的因素:系统审查
Mohsen Khosravi1, Seyyed Morteza Mojtabaeian1, Zahra Zare1
1Shiraz University of Medical Sciences, Iran.
概括
预期的努力,特别是数据的复杂性和管理,对于在医疗保健中使用大数据至关重要. 了解这些因素可以改善医疗保健决策和精准药物交付.
科学领域:
- 医疗信息学 医疗信息学
- 在医疗保健中的数据科学.
- 医疗保健管理的管理
背景情况:
- 大数据为识别模式和在医疗保健中产生可操作的见解提供了潜力.
- 利用大数据可以提高精准医学并支持临床决策.
- 该研究涉及了解影响医疗保健服务中大数据采用因素的必要性.
研究的目的:
- 调查影响医疗保健服务中大数据利用的因素.
- 确定影响大数据采用的主要主题和类别.
- 为未来关于医疗保健中大数据实施的研究提供基础.
主要方法:
- 根据PRISMA指南,在2024年2月进行了系统审查.
- 搜索涵盖了主要数据库 (PubMed,Scopus,ProQuest,Cochrane Library) 的2020年1月至2024年2月期间发表的文章.
- 使用AACODS检查清单评估文章质量,使用Boyatzis方法进行主题分析.
主要成果:
- 包括46项研究,证明了可接受的质量和令人满意的偏差水平.
- 主题分析揭示了影响大数据使用的七个主要主题,分为绩效预期,努力预期,社会影响和促进条件.
- 劳动力预期因素被引用最多 (67%),而社会影响因素被引用最少 (15%).
结论:
- 努力预期因素,特别是数据复杂性和管理,在医疗保健中采用大数据方面发挥着关键作用.
- 了解这些因素对于医疗保健环境中有效利用大数据至关重要.
- 这些发现强调了需要制定战略来应对数据复杂性和管理挑战.
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