大数据驱动的公共卫生政策制定:医疗保健行业的潜力
Kang Chao1, Md Nazirul Islam Sarker2,3, Isahaque Ali2
1School of Economics and Management, Neijiang Normal University, Neijiang, 641199, China.
Heliyon
|October 9, 2023
概括
大数据分析 (BDA) 可以通过在整个政策周期中实现数据驱动的决策来彻底改变医疗保健政策. 克服数据整合和共享方面的挑战是释放BDA在公共卫生方面的全部潜力的关键.
科学领域:
- 公共卫生 公共卫生
- 卫生政策 卫生政策
- 数据科学数据科学数据科学
背景情况:
- 医疗数据分析对未来的公共卫生政策至关重要.
- 大数据分析 (BDA) 为准确和快速的卫生政策决策提供了潜力.
研究的目的:
- 检查BDA在卫生政策周期中的方法性整合.
- 探索BDA在基于证据的健康政策制定和评估方面的潜力.
主要方法:
- 使用PRISMA指南进行系统文献审查 (2001-2023年).
- 在卫生政策中开发BDA的概念框架.
主要成果:
- BDA可以将传统的政策制定转变为数据驱动的过程.
- BDA适用于卫生政策周期的所有阶段:识别,议程制定,制定,实施和评估.
- 目前的分析 (描述性,预测性,处方性) 使用多种健康数据来源.
结论:
- BDA有可能显著提高卫生政策的准确性和有效性.
- 解决计算,技术,法律和治理方面的挑战对于BDA实施至关重要.
- 数据的可用性和共享对于实现BDA在公共卫生政策中的全部影响至关重要.
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