[1]楼昀王珏陈雯婷陈芳馨黄健.优化门诊分时段预约[J].中国卫生质量管理,2019,26(04):48-51.[doi:10.13912/j.cnki.chqm.2019.26.4.14]

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优化门诊分时段预约

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R] 卷: 第26卷期数: 2019年04期页码: 48-51 栏目: 医疗质量出版日期: 2019-07-28

作者:: 楼昀王珏陈雯婷陈芳馨黄健; 复旦大学附属妇产科医院

关键词:: 门诊管理; 分时段; 预约; 排队; 等候时长; 医疗质量

Keywords:: Outpatient Management; Time Interval; Reservation; Queueing; Waiting Time; Medical Quality

DOI:: 10.13912/j.cnki.chqm.2019.26.4.14

摘要:: 优化门诊分时段预约管理模式，缩短患者的排队候诊时长，提高门诊号源利用率。方法对门诊传统分时段管理进行优化，将门诊部A的传统分时段预约管理作为对照组，门诊部B优化后的分时段预约管理作为实验组，采用SPSS 20.0统计软件比较两组的差异。结果优化后分时段预约管理相对传统模式，号源预约率提升18.41%，号源爽约率下降11.43%。普通门诊与专家门诊预约患者的候诊时长比未预约患者分别缩短25.13%和33.41%，普通门诊与专家门诊实验组的候诊时长比对照组分别缩短52.38%和45.11%，患者对该项目的满意度提升14.65%。结论优化分时段预约管理在提升患者就医体验上效果明显，值得进一步研究和推广。

Abstract:: To optimize the method of outpatient divided period reservation management to reduce patients' waiting time and improve the utilization rate of outpatient source.MethodsTo optimize the traditional management of outpatient divided period reservation and use traditional management method in outpatient A as control group and the optimized management method in outpatient B as experiment group. The SPSS 20.0 was used to compare the difference between the two groups.ResultsCompared to traditional reservation management, optimized management increased the reservation rate by 18.41%, decreased missing rate by 11.43%.Waiting time of patients who had reserved from general outpatient clinics and expert clinics was respectively 25.13% and 33.41% shorter than those who hadn't reserved. Waiting time of general outpatient clinics and expert clinics of experimental group was respectively 52.38% and 45.11% shorter than those of control group. Patients' satisfaction rate on this project increased by 14.65%.ConclusionOptimized time reservation management showed evident field effects of improving patients' experience during process of medical service. And it deserved further hierarchical research and popularization.

参考文献/References:

［1］《中国信息安全》编辑部.CNNIC发布第39次《中国互联网络发展状况统计报告》［J］.中国信息安全, 2017(2): 24.

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更新日期/Last Update: 2019-07-28