医疗保健领域的大数据分析:发展中国家的机遇和挑战. 一个文献综述
David Muhunzi1, Lucy Kitambala1, Harold L Mashauri2,3
1Department of Internal Medicine, Muhimbili University of Health and Allied Sciences(MUHAS), Dar es Salaam, Tanzania.
Health informatics journal
|October 22, 2024
概括
在发展中国家整合大数据分析提供了医疗保健的好处,但也面临着挑战. 主要障碍包括数据碎片化,安全问题和基础设施限制,这些障碍阻碍了充分采用尽管潜在的成本效益.
科学领域:
- 医疗信息学 医疗信息学
- 数字健康数字健康
- 发展中国家经济体的发展.
背景情况:
- 发展中国家医疗保健的数字化工作正在进行中.
- 在医疗保健环境中全面采用大数据分析仍然是一个挑战.
- 了解机遇和挑战对于有效的战略制定至关重要.
研究的目的:
- 探索在发展中国家医疗保健中整合大数据分析的机会.
- 确定阻碍这些地区采用大数据分析技术的挑战.
主要方法:
- 采用了叙事审查研究设计.
- 在多个数据库 (PubMed,ScienceDirect,MEDLINE,Scopus,Google Scholar) 中进行了全面的文献搜索.
- 收录标准侧重于用预先确定的关键词编写的英语文章.
主要成果:
- 在人口健康管理和临床决策支持中发现的大数据分析应用.
- 主要挑战包括分散和不可互操作的医疗保健数据.
- 其他挑战包括数据安全,隐私问题,有限的资源,不充分的监管框架和糟糕的基础设施 (电力,互联网).
结论:
- 在发展中国家,医疗保健的数字化面临着重大障碍.
- 大数据分析集成为增强和成本效益的医疗保健提供提供了机会.
- 解决已确定的挑战是释放大数据在这些环境中的潜力的关键.
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