大数据,风险预测,模拟和集中在紧急血管问题的作用:经验教训和未来方向
Salvatore T Scali1, David H Stone2
1Division of Vascular Surgery and Endovascular Therapy, University of Florida, 1600 SW Archer Road, Suite NG45, PO Box 100128, Gainesville, FL, 32608.
Seminars in vascular surgery
|June 17, 2023
概括
血管外科医生面临着高需求和劳动力短缺. 本综述探讨了大数据,风险预测和模拟如何改善紧急血管护理和患者的结果.
科学领域:
- 血管外科 血管外科
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
背景情况:
- 血管专家有很高的需求,管理关键的紧急情况.
- 劳动力限制和人口老龄化加剧了对高效血管护理的需求.
- 及时诊断和转移到专门中心对于紧急血管病例至关重要.
研究的目的:
- 审查大数据,风险预测和模拟在管理血管紧急情况中的应用.
- 突出解决血管外科护理服务缺口的策略.
- 为利益相关者提供从新型数据方法学中获得的最佳实践的信息.
主要方法:
- 关于血管外科大数据分析的文献综述.
- 风险预测模型和模拟培训应用程序的分析.
- 检查临床决策辅助和区域化等策略.
主要成果:
- 大数据集为复杂的医疗保健问题提供启发式算法.
- 大数据可以产生临床风险得分和决策辅助工具.
- 模拟和数据驱动的方法增强了血管紧急情况的管理.
结论:
- 大数据,风险预测和模拟是血管外科手术的宝贵工具.
- 这些方法可以改善血管紧急情况的管理和患者的治疗结果.
- 解决劳动力局限性需要在血管护理方面采取创新方法.
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