Intelligent Dental Triage System oriented on Dental Symptom Knowledge Base

Muyao Tang, Luwang Zhou, Yongheng Zhao, Yuntian Liu
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Abstract

Dentistry, as a medical specialty, has many sub-departments and it's challenging for patient to correctly choose the specialties for their own oral diseases for treatment. The intelligent dental clinic triage system is designed to triage dental patients. The implementation of the intelligent dental clinic triage system will triage patients with different symptoms to the corresponding demtal sub-departments. Through accurate triage, the system utilization rate and the patient triage rate is increasing, the patient cancellation rate is reduced, and the patient time cost is saved. The triage system is constructed by modules including the self-developed symptom knowledge base, image library of symptom and Recommendation sub-department for patient registration. In order to make better use of the triage system, we optimized the process and set the entrance of the system to the dental registration of the WeChat public account. By optimizing the triage process, it finally got more than 101,000 clicks and over 17,000 users. As the data shows, we believe that the cancellation rate tends to decrease with the month, and the triage rate tends to increase with the month.
基于口腔症状知识库的智能分诊系统
牙科作为一门医学专业,分科众多,患者对自身口腔疾病的正确选择专科进行治疗具有一定的挑战性。智能牙科诊所分诊系统是为牙科病人分诊而设计的。智能牙科门诊分诊系统的实施,将不同症状的患者分诊到相应的牙科室。通过准确的分诊,提高了系统利用率和患者分诊率,降低了患者取消率,节省了患者时间成本。分诊系统由自主开发的症状知识库、症状图片库和挂号推荐分科等模块构成。为了更好地利用分诊系统,我们对流程进行了优化,将系统入口设置为微信公众号的牙科注册。通过优化分类过程,它最终获得了超过101,000次点击和超过17,000名用户。根据数据显示,我们认为取消率随月呈下降趋势,分诊率随月呈上升趋势。
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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