{"title":"基于流水线的遗传算法用于医院门诊部和实验室的患者排班","authors":"Ming-Shen Jian, Cheng-He Wang, Wei-Siou Wu, Tzu-Wei Huang","doi":"10.23919/ICACT60172.2024.10471997","DOIUrl":null,"url":null,"abstract":"This research propose the pipeline based genetic algorithm for patient scheduling. The time spent in the hospital outpatient department, laboratory, and the idle time caused by the scheduling are considered. According to the subject condition, the optimal solution related to medical service time spent for the patients in different medical departments with single or multiple medical services can be found. Through the cloud computing platform, the developed algorithm can be rapidly used for different requirements from hospitals or patients.","PeriodicalId":518077,"journal":{"name":"2024 26th International Conference on Advanced Communications Technology (ICACT)","volume":"21 3","pages":"163-167"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pipeline Based Genetic Algorithm for Patient Scheduling in Hospital Outpatient Department and Laboratory\",\"authors\":\"Ming-Shen Jian, Cheng-He Wang, Wei-Siou Wu, Tzu-Wei Huang\",\"doi\":\"10.23919/ICACT60172.2024.10471997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research propose the pipeline based genetic algorithm for patient scheduling. The time spent in the hospital outpatient department, laboratory, and the idle time caused by the scheduling are considered. According to the subject condition, the optimal solution related to medical service time spent for the patients in different medical departments with single or multiple medical services can be found. Through the cloud computing platform, the developed algorithm can be rapidly used for different requirements from hospitals or patients.\",\"PeriodicalId\":518077,\"journal\":{\"name\":\"2024 26th International Conference on Advanced Communications Technology (ICACT)\",\"volume\":\"21 3\",\"pages\":\"163-167\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2024 26th International Conference on Advanced Communications Technology (ICACT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICACT60172.2024.10471997\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 26th International Conference on Advanced Communications Technology (ICACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICACT60172.2024.10471997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pipeline Based Genetic Algorithm for Patient Scheduling in Hospital Outpatient Department and Laboratory
This research propose the pipeline based genetic algorithm for patient scheduling. The time spent in the hospital outpatient department, laboratory, and the idle time caused by the scheduling are considered. According to the subject condition, the optimal solution related to medical service time spent for the patients in different medical departments with single or multiple medical services can be found. Through the cloud computing platform, the developed algorithm can be rapidly used for different requirements from hospitals or patients.