卫生系统管理的技术和决策支持工具:特征和用例的范围审查
Ericles Andrei Bellei1,2, Renato Vargas Fernandes1, Ana Carolina Bertoletti De Marchi1,2
1Institute of Health, University of Passo Fundo (UPF), Passo Fundo, RS, Brazil.
Expert review of pharmacoeconomics & outcomes research
|November 18, 2024
概括
现代医疗保健系统需要创新的管理工具来应对不断增加的患者数量和成本. 本文审查了机器学习和数据仪表板等技术,以提高卫生系统的效率和患者护理.
科学领域:
- 卫生系统管理管理卫生系统管理
- 医疗保健技术 技术 医疗保健 技术
- 运营研究 运营研究
背景情况:
- 医疗保健系统面临着越来越多的患者数量,复杂的需求和经济压力.
- 在医疗保健中管理工具的具体应用方面存在知识差距.
- 创新解决方案对于提高医疗保健系统效率和可持续性至关重要.
研究的目的:
- 审查和分析卫生系统管理工具的应用,特征和现实影响.
- 确定关键技术及其在优化医疗保健运营中的作用.
- 弥合现有工具和它们在卫生系统管理中的定制使用之间的理解差距.
主要方法:
- 在2023年10月进行了一次系统的文献审查.
- 在Medline,Embase,IEEE Xplore和ACM数字图书馆中进行了搜索.
- 从2048个记录中选择了12项研究,重点关注各种管理技术.
主要成果:
- 选择的研究突出了决策分析工具,机器学习算法和数据仪表板.
- 这些技术对于优化资源配置,财务管理和患者护理至关重要.
- 经过审查的工具显示出在提高决策和运营效率方面有很大的潜力.
结论:
- 医疗系统管理工具对于提高复杂医疗环境的可管理性和可持续性至关重要.
- 这些技术在改善整体医疗保健结果和患者护理方面表现有前途.
- 需要进一步的研究,以使技术进步与不断变化的医疗保健部门改善系统效率的需求保持一致.
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