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Prediction model of outpatient flow based on behaviour data of outpatients in a Chinese tertiary hospital

机译:基于中国第三级医院外门诊行为数据的门诊流动预测模型

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摘要

Objective: Outpatients at Chinese tertiary hospitals are always over-crowded due to the "walk in" mode and all of the services provided within the hospital, which include patient interviews, lab workups, imaging examinations and prescription fill. The aim of this study was to build a model to predict sequential patterns of the services that the patients sought to use and then provide advice for what services they can choose and in which order to avoid long waiting times.
机译:目的:由于“走进”模式以及医院内提供的所有服务,包括患者访谈,实验室掉期,成像检查和处方填充,普遍存在中国大专院位医院的门诊始终过度拥挤。 本研究的目的是建立一个模型,以预测患者寻求使用的服务的顺序模式,然后为他们选择的服务提供建议,以避免长期等待时间。

著录项

  • 来源
    《Computers in Industry》 |2018年第2018期|共7页
  • 作者单位

    Capital Med Univ Xuanwu Hosp Informat Ctr 45 Changchun St Beijing 100053 Peoples R China;

    Capital Med Univ Xuanwu Hosp Informat Ctr 45 Changchun St Beijing 100053 Peoples R China;

    North China Univ Technol Comp Depatment 5 Jinyuanzhuang Rd Beijing 100144 Peoples R China;

    Capital Med Univ Xuanwu Hosp Outpatient Management Dept 45 Changchun St Beijing 100053 Peoples R China;

    Capital Med Univ Xuanwu Hosp Informat Ctr 45 Changchun St Beijing 100053 Peoples R China;

    Capital Med Univ Xuanwu Hosp Informat Ctr 45 Changchun St Beijing 100053 Peoples R China;

    Capital Med Univ Xuanwu Hosp Informat Ctr 45 Changchun St Beijing 100053 Peoples R China;

    Tsinghua Univ Res Inst Informat Technol Beijing 100084 Peoples R China;

    Capital Med Univ Xuanwu Hosp Informat Ctr 45 Changchun St Beijing 100053 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机的应用;
  • 关键词

    Outpatients' selection after payment; Patient queue information; Data analysis; Prediction model;

    机译:支付后的门诊选择;患者队列信息;数据分析;预测模型;

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