{"title":"使用物联网的混合电子处方管理系统","authors":"C. J., Chandini N, Chinni Srinija, D. S, Pappa M","doi":"10.1109/ICECAA55415.2022.9936536","DOIUrl":null,"url":null,"abstract":"With a development in generation and powerful cutting down of sensors, there are diverse tries to apply the brand-new generation in diverse regions to improve the first-class of human life. In the growing nations, the needy people discover the healthcare system to be expensive. As a result, this assignment is an undertaking to solve the healthcare issues currently faced by the society. To provide the powerful, clever, and dependable healthcare service to the patients, Internet of Things (IoT) ideas are used extensively to interconnect with clinical resources. The predominant goal of the assignment to sample a far-flung health tracking machine with the automated prescription. It is especially composed of three parts. The detection of patient’s vitals with the use of sensors is the primary element, sending the facts to the cloud garage being the second element and offering the detected facts for processing, far flung viewing, and prescribing the proper medicinal drug is the third element. Remote viewing of the facts permits the health practitioner to study a patient’s health development staying far from the health facility premises. Hence the proposed structure collects sensor facts via Arduino improvement board and ship them to the cloud, with the use of Node MCU in which it is far processed and analyzed for far flung viewing and medicinal drug suggestion. The medicinal drug prescription after studying facts might be proven at the web page dashboard.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Hybrid E-Prescription Management System using IoT\",\"authors\":\"C. J., Chandini N, Chinni Srinija, D. S, Pappa M\",\"doi\":\"10.1109/ICECAA55415.2022.9936536\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With a development in generation and powerful cutting down of sensors, there are diverse tries to apply the brand-new generation in diverse regions to improve the first-class of human life. In the growing nations, the needy people discover the healthcare system to be expensive. As a result, this assignment is an undertaking to solve the healthcare issues currently faced by the society. To provide the powerful, clever, and dependable healthcare service to the patients, Internet of Things (IoT) ideas are used extensively to interconnect with clinical resources. The predominant goal of the assignment to sample a far-flung health tracking machine with the automated prescription. It is especially composed of three parts. The detection of patient’s vitals with the use of sensors is the primary element, sending the facts to the cloud garage being the second element and offering the detected facts for processing, far flung viewing, and prescribing the proper medicinal drug is the third element. Remote viewing of the facts permits the health practitioner to study a patient’s health development staying far from the health facility premises. Hence the proposed structure collects sensor facts via Arduino improvement board and ship them to the cloud, with the use of Node MCU in which it is far processed and analyzed for far flung viewing and medicinal drug suggestion. The medicinal drug prescription after studying facts might be proven at the web page dashboard.\",\"PeriodicalId\":273850,\"journal\":{\"name\":\"2022 International Conference on Edge Computing and Applications (ICECAA)\",\"volume\":\"1 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\":\"2022 International Conference on Edge Computing and Applications (ICECAA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECAA55415.2022.9936536\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Edge Computing and Applications (ICECAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECAA55415.2022.9936536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Hybrid E-Prescription Management System using IoT
With a development in generation and powerful cutting down of sensors, there are diverse tries to apply the brand-new generation in diverse regions to improve the first-class of human life. In the growing nations, the needy people discover the healthcare system to be expensive. As a result, this assignment is an undertaking to solve the healthcare issues currently faced by the society. To provide the powerful, clever, and dependable healthcare service to the patients, Internet of Things (IoT) ideas are used extensively to interconnect with clinical resources. The predominant goal of the assignment to sample a far-flung health tracking machine with the automated prescription. It is especially composed of three parts. The detection of patient’s vitals with the use of sensors is the primary element, sending the facts to the cloud garage being the second element and offering the detected facts for processing, far flung viewing, and prescribing the proper medicinal drug is the third element. Remote viewing of the facts permits the health practitioner to study a patient’s health development staying far from the health facility premises. Hence the proposed structure collects sensor facts via Arduino improvement board and ship them to the cloud, with the use of Node MCU in which it is far processed and analyzed for far flung viewing and medicinal drug suggestion. The medicinal drug prescription after studying facts might be proven at the web page dashboard.