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Developing an Optimization Algorithm within an E-Referral Program for Clinical Specialist Selection, Based on an Extensive E-Referral Program Analysis.

机译:基于广泛的电子推荐程序分析,在电子推荐程序中开发用于临床专家选择的优化算法。

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摘要

When referring physicians decide to refer their patients to specialist care, they rarely, if ever, make a referral decision with the benefit of having access to all of the desirable information. It is therefore highly unlikely that the referring physician will make the optimal choice of specialist for that particular referral. A specialist selection optimization algorithm was developed to guarantee that the "right specialist" for each patient's referral was chosen. The specialist selection optimization algorithm was developed based on feedback from over 120 users of the e-referral program. The developed algorithm was simulated, tested, and validated in MATLAB. Results from the MATLAB simulation demonstrate that the algorithm functioned as it was designed to. The developed algorithm provides referring physicians with an unprecedented level of support for their decision of which specialist to refer their patient to.
机译:当转诊医生决定将其患者转诊至专科治疗时,他们很少(如果有的话)会做出转诊决定,而受益于获得所有所需信息的好处。因此,转诊医生极不可能针对特定的转诊做出最佳的专家选择。开发了专家选择优化算法,以确保为每个患者的转诊选择“合适的专家”。专家选择优化算法是根据来自120个电子推荐程序用户的反馈而开发的。所开发的算法在MATLAB中进行了仿真,测试和验证。 MATLAB仿真的结果表明,该算法能够按预期运行。所开发的算法为转诊医师提供了前所未有的支持,可帮助他们决定由哪位专家转诊患者。

著录项

  • 作者

    Carrick, Curtis.;

  • 作者单位

    University of Manitoba (Canada).;

  • 授予单位 University of Manitoba (Canada).;
  • 学科 Operations research.;Mechanical engineering.
  • 学位 M.Sc.
  • 年度 2012
  • 页码 221 p.
  • 总页数 221
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:13

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