用大数据分析改进社区卫生中心:关于收养的系统文献综述
Pascal Ndikuyeze1, Phahlane Mampilo1
1College of Science, Engineering and Technology- School of Computing, University of South Africa (UNISA), Pretoria, South Africa.
Digital health
|May 12, 2025
概括
大数据分析 (BDA) 可以改善社区卫生中心 (CHC). 本次审查确定了在医疗保健中心采用BDA的挑战和机会,以加强医疗保健服务的提供.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 社区卫生中心 (CHC) 可以从大数据分析 (BDA) 中受益,以提高效率和有效性.
- 这项研究重点关注Nkangala地区的医疗保健中心采用BDA,以提高医疗保健服务的提供.
- 它解决了关于BDA在这个特定背景下实施的研究缺口.
研究的目的:
- 对社区卫生中心 (CHC) 采用大数据分析 (BDA) 的现有知识进行审查和整合.
- 确定与实施医疗保健服务提供BDA相关的挑战和机会.
- 为提高BDA在CHC中的实施策略提供信息.
主要方法:
- 根据PRISMA原则进行了一次系统的文献审查.
- 在主要的学术数据库 (PubMed,Google Scholar等) 中进行了搜索. 在2024年之前.
- 纳入标准侧重于BDA在CHC的采用和实施;分析了31项研究.
主要成果:
- 包括31项研究,展示了不同的设计和重点领域.
- 确定了BDA实施的共同挑战,最佳实践和成果.
- 突出了影响BDA整合的技术,组织和人类因素.
结论:
- 证据的局限性 (异质性,概括性,质量) 给数据驱动的医疗保健带来了挑战.
- 短时间的研究阻碍了对长期影响的评估.
- 需要进一步的研究来加强BDA采用策略,并解决CHC的研究缺口.
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