K. Namee, Korapin Infueng, J. Polpinij, Orrawan Suwittayapun, Phattaraporn Promsurapat, A. Meny
{"title":"Development a Teleconsultation Platform for Outpatients during the COVID-19 Pandemic based on Cloud Firestore and Realtime Databases","authors":"K. Namee, Korapin Infueng, J. Polpinij, Orrawan Suwittayapun, Phattaraporn Promsurapat, A. Meny","doi":"10.1109/BMEiCON56653.2022.10012077","DOIUrl":null,"url":null,"abstract":"Due to the global epidemic situation of the Coronavirus Disease 2019 (Covid-19), in addition to serving patients with suspected symptoms and sickness from COVID-19, the hospital also provides services to patients outside requiring a lot of treatment causing a large number of queues in patients. It takes a long time to wait to see the doctor. The researcher therefore developed a teleconsultation platform. Hence, that patients can talk or seek advice from a doctor without the need to go to the hospital, allow patients to schedule appointments to see a doctor. Also, the patient can talk to the doctor via video calling developed in the system. Moreover, doctors can dispense medicines to patients by mail. To increase the efficiency of the system more and to support a wide range of applications, any devices, real-time data updates, appointment notification via chatbot using Cloud Firestore and Realtime Databases, a NoSQL database, and study the performance gained. The results obtained from the test were satisfactory, with an average tracing server response of 107 ms + 0.14%, and an average handling latency in Thailand at 108 ms.","PeriodicalId":177401,"journal":{"name":"2022 14th Biomedical Engineering International Conference (BMEiCON)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th Biomedical Engineering International Conference (BMEiCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEiCON56653.2022.10012077","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
Due to the global epidemic situation of the Coronavirus Disease 2019 (Covid-19), in addition to serving patients with suspected symptoms and sickness from COVID-19, the hospital also provides services to patients outside requiring a lot of treatment causing a large number of queues in patients. It takes a long time to wait to see the doctor. The researcher therefore developed a teleconsultation platform. Hence, that patients can talk or seek advice from a doctor without the need to go to the hospital, allow patients to schedule appointments to see a doctor. Also, the patient can talk to the doctor via video calling developed in the system. Moreover, doctors can dispense medicines to patients by mail. To increase the efficiency of the system more and to support a wide range of applications, any devices, real-time data updates, appointment notification via chatbot using Cloud Firestore and Realtime Databases, a NoSQL database, and study the performance gained. The results obtained from the test were satisfactory, with an average tracing server response of 107 ms + 0.14%, and an average handling latency in Thailand at 108 ms.
由于2019冠状病毒病(Covid-19)的全球流行形势,医院除了服务有Covid-19疑似症状和疾病的患者外,还为需要大量治疗的患者提供服务,导致患者大量排队。看医生要等很长时间。因此,研究人员开发了一个远程咨询平台。因此,患者可以与医生交谈或寻求建议,而不需要去医院,允许患者预约看医生。此外,患者可以通过系统中开发的视频通话与医生交谈。此外,医生可以通过邮件给病人配药。为了提高系统的效率,并支持广泛的应用程序,任何设备,实时数据更新,约会通知通过聊天机器人使用云Firestore和Realtime数据库,NoSQL数据库,并研究所获得的性能。测试获得的结果令人满意,跟踪服务器的平均响应为107 ms + 0.14%,泰国的平均处理延迟为108 ms。