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开发计算机辅助预约安排的原型系统:放射学部门的案例研究.

Ping-Shun Chen1, Chin-Hui Lai2, Ying-Tzu Chen1

  • 1Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan, Taiwan.

Technology and health care : official journal of the European Society for Engineering and Medicine
|August 7, 2023
PubMed
概括

这项研究引入了一种计算机辅助系统,以优化放射学预约安排. 该系统有效地分类患者检查时间,提高效率和医疗治疗质量.

关键词:
数据挖掘是一种数据挖掘.预约安排系统预约安排系统决策树是一个决策树.患者预约时间 患者预约时间一步一步的多重回归分析.

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科学领域:

  • 医疗信息学 医疗信息学
  • 运营研究 运营研究
  • 放射学 放射学是一门学科.

背景情况:

  • 由于患者需求,检查和资源的多样性,医院预约安排是复杂的.
  • 放射学调度问题带来了与多个技术人员,房间和检查类型的独特挑战.

研究的目的:

  • 为放射学开发一个计算机辅助的预约安排系统.
  • 根据患者和资源因素,解决安排放射学检查的复杂性.

主要方法:

  • 使用逐步多重回归分析 (SMRA) 来预测检查图像数量.
  • 采用K-Means集群和决策树分类来分类患者检查时间.
  • 综合患者数据,包括身体部位,部门,性别和年龄.

主要成果:

  • 开发了一种能够创建可行的患者预约时间表的原型系统.
  • 根据身体部位,部门和技术人员,将患者检查时间分为不同的类别.
  • 展示了一种利用多个变量生成高效时间表的方法.

结论:

  • 拟议的系统有效地安排了各种放射学服务的预约.
  • 解决放射学调度中的多样性和不确定性的挑战.
  • 旨在通过优化时间安排提高医疗治疗的整体质量.