Muyao Tang, Luwang Zhou, Yongheng Zhao, Yuntian Liu
{"title":"基于口腔症状知识库的智能分诊系统","authors":"Muyao Tang, Luwang Zhou, Yongheng Zhao, Yuntian Liu","doi":"10.1145/3570773.3570793","DOIUrl":null,"url":null,"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.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Dental Triage System oriented on Dental Symptom Knowledge Base\",\"authors\":\"Muyao Tang, Luwang Zhou, Yongheng Zhao, Yuntian Liu\",\"doi\":\"10.1145/3570773.3570793\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":153475,\"journal\":{\"name\":\"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3570773.3570793\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3570773.3570793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Dental Triage System oriented on Dental Symptom Knowledge Base
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.