完善整体健康的数据实践:为变革性的未来制定战略
Lei Guo1,2, Kavitha P Reddy1,3,4, Theresa Van Iseghem1,5
1Whole Health VA St. Louis Health Care System St. Louis Missouri USA.
Learning health systems
|June 17, 2024
概括
整个卫生系统 (WHS) 面临着数据管理的挑战. 解决方案包括互操作性,以患者为中心的研究和先进的分析,以改善患者的护理和结果.
科学领域:
- 医疗保健管理的管理
- 医疗信息学 医疗信息学
- 综合医学是一个整体的医学.
背景情况:
- 整体卫生系统 (WHS) 整合了传统和补充医学.
- WHS作为一个学习健康系统,强调持续改进.
- 有效的数据管理对于WHS以患者为中心的模式至关重要.
研究的目的:
- 在WHS中识别数据管理挑战.
- 为优化WHS数据利用提出解决方案.
- 通过改进的数据策略来提高患者护理和结果.
主要方法:
- 优先考虑互操作性,以实现无数据交换.
- 纳入以患者为中心的比较临床有效性研究.
- 利用先进的数据分析来实现患者报告的结果和客观指标.
主要成果:
- 建议的解决方案有助于个性化治疗计划.
- 增强的数据分析能够验证整合性方法.
- 强大的数据平台支持整体的医疗保健服务.
结论:
- 实施拟议的解决方案支持WHS的使命.
- 改进的数据管理促进了供应商的合作和福祉.
- 优化数据策略是改善WHS患者治疗结果的关键.
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