{"title":"Smart Queueing Management System for Digital Healthcare","authors":"Mayank Dutta, Fakhra Najm, Dhruv Tomar, S. Mehfuz","doi":"10.1109/REEDCON57544.2023.10151351","DOIUrl":null,"url":null,"abstract":"The Smart Queuing Management System (SQMS) proposed in this paper aims to improve the efficiency of the patient appointment process in healthcare facilities by optimizing the organization of patients based on their age, appointment time, and severity of their disease. This system uses a scoring mechanism that considers the importance of these factors and assigns a score to each patient. The scoring mechanism ensures that patients with higher priority are given a higher score, and therefore are placed at the top of the queue. To ensure fairness in the queue, the system also incorporates a Tribonacci series for incrementing the score of late patients. This mechanism ensures that patients who have been waiting for longer periods of time are given priority over those who have just arrived, while also preventing the queue from becoming too unbalanced. The proposed system has several benefits for healthcare facilities, including better organization of patients, reduced wait times, and improved healthcare outcomes. By prioritizing patients based on their age, appointment time, and severity of their disease, the system ensures that patients with more urgent medical needs receive prompt attention. This can lead to better healthcare outcomes, as patients receive the care they need in a timely manner.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REEDCON57544.2023.10151351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Smart Queuing Management System (SQMS) proposed in this paper aims to improve the efficiency of the patient appointment process in healthcare facilities by optimizing the organization of patients based on their age, appointment time, and severity of their disease. This system uses a scoring mechanism that considers the importance of these factors and assigns a score to each patient. The scoring mechanism ensures that patients with higher priority are given a higher score, and therefore are placed at the top of the queue. To ensure fairness in the queue, the system also incorporates a Tribonacci series for incrementing the score of late patients. This mechanism ensures that patients who have been waiting for longer periods of time are given priority over those who have just arrived, while also preventing the queue from becoming too unbalanced. The proposed system has several benefits for healthcare facilities, including better organization of patients, reduced wait times, and improved healthcare outcomes. By prioritizing patients based on their age, appointment time, and severity of their disease, the system ensures that patients with more urgent medical needs receive prompt attention. This can lead to better healthcare outcomes, as patients receive the care they need in a timely manner.