在健康供应链管理中应用大数据分析的价值
Dina Al Nuaimi1, Niyi Awofeso1
1Health and Environmental Studies, Hamdan Bin Mohammed Smart University, Dubai, Dubai, 0000, United Arab Emirates.
F1000Research
|February 24, 2025
概括
大数据分析 (BDA) 显著提高了医疗保健供应链管理 (HCSCMP) 的效率,特别是在实时决策方面. 成功实施取决于解决医疗保健供应链 (HCSC) 内的关键推动因素和挑战.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 运营管理 运营管理
- 信息科学 信息科学 信息科学
背景情况:
- 医疗保健供应链管理 (HCSCMP) 面临着影响效率和患者护理的复杂性.
- 大数据分析 (BDA) 的整合为优化医疗保健供应链 (HCSC) 提供了机会.
- 了解BDA在HCSCMP中实施的关键成功因素至关重要.
研究的目的:
- 评估大数据分析 (BDA) 对医疗保健供应链管理 (HCSCMP) 绩效的影响.
- 确定BDA在HCSCs有效实施的关键成功因素.
- 检查BDA如何增强HCSC内部的实时决策.
主要方法:
- 系统性文献综述分析了65篇论文,其中包括39项研究 (2016-2023年).
- 综合搜索策略,以确定在HCSCMP中有关BDA的相关研究.
- 对初级研究方法的分析,注意到对文献评论和问卷的偏好.
主要成果:
- BDA显著提高了HCSCMP的效率,特别是在实时决策和运营管理方面.
- 确定了在医疗保健供应链中成功采用BDA的关键推动因素.
- 与HCSCMP中BDA实施相关的挑战需要仔细考虑和缓解.
结论:
- 大数据分析是提高医疗保健供应链绩效的宝贵工具.
- 解决关键的成功因素和挑战对于最大限度地提高HCSCMP的BDA效益至关重要.
- 进一步的研究可能会探索特定的BDA应用及其对HCSC结果的可量化的影响.
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