Reducing the outpatient waiting time based on CBR algorithm using smartphone

Yuh-Tzong Liu, Yi-Han Chen, Nei-Phon Wang, Chun-Jung Lin, Yung-An Chen
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引用次数: 4

Abstract

Many people who live in Taiwan may have the experience of medical treatment so called "three longer, two shorter" situations. The "Three longer" phenomenon means we must keep in line waiting for registration, waiting to see a doctor in the clinic room and waiting for prescriptions. The "Two shorter" phenomenon means a doctor has many patients on his hands so the visit and the in-query time of out-patient diagnostic will be relatively short. With the development of medical information system and the application of the internet, registration and prescription have made a rapid progress. Because the complexity of the disease and the doctor's regular practice of diagnosis, medical institutions usually can't reduce the waiting time for outpatient efficiently. This study will introduce the smart phone apps as the carrier, using Case-Based Reasoning (CBR) algorithm to construct an Expert System, so as to inform patients the right time needed to go to the clinic. For the patients using this apps, we not only can reduce the waiting time but also improve the satisfaction of patients'. Besides, we believe the quality of care will also be improved.
基于智能手机的CBR算法减少门诊候诊时间
很多在台湾生活的人可能都有过就医所谓“三长两短”的经历。“三长”现象意味着我们必须排队等候挂号,等候医务室看病,等候处方。“两短”现象是指医生手上的病人很多,门诊诊断的就诊时间和查询时间相对较短。随着医疗信息系统的发展和互联网的应用,挂号和处方取得了飞速的发展。由于疾病的复杂性和医生的常规诊断,医疗机构通常无法有效地减少门诊的等待时间。本研究将以智能手机应用为载体,采用基于案例推理(Case-Based Reasoning, CBR)算法构建专家系统,从而告知患者何时需要去诊所就诊。对于使用这款app的患者来说,我们不仅可以减少患者的等待时间,还可以提高患者的满意度。此外,我们相信护理的质量也会得到提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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