K. Sarada, K. Saikumar, Bhanuprakash Dudi, M. A. Alkhafaji, K. Mohsen
{"title":"利用物联网实现患者健康数据记录和医疗信息监控","authors":"K. Sarada, K. Saikumar, Bhanuprakash Dudi, M. A. Alkhafaji, K. Mohsen","doi":"10.1109/INOCON57975.2023.10101301","DOIUrl":null,"url":null,"abstract":"Medical diagnosis and its records sharing are essential in the medical field. The IoT has offered secure data transfer in any technology platform. According to WHO, around 10 billion people face false diagnoses and treatments yearly due to a lack of medical records maintenance. An advanced IoT-based secure medical records-sharing application design performs in this research work. The proposed method verifies on the python 3.7.0 software tool. The medical records are nothing but MRI scan reports, CT scans, ultrasound Scans, and all other diagnosis reports. Fraudsters have sometimes hacked the physical sharing of the following documents. The internet of things is most prominent and secure in data transfer applications. The IoT sensors have collected information directly from scanning devices in binary or image format. The collected information is loaded to local servers and later stored on the central server. After this, data is monitored by a doctor with proper authentication using secure keys. The designed application has attained a sensitivity of 98.23%, an accuracy of 97.23%, a recall of 98.28%, and a detection rate of 97.91%. The implemented application is beneficial to researchers and doctors for easy treatment. The proposed IoT-based medical records-sharing application competes with present technology and outperforms the methodology.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Records of Patient Health Data and Medical Information Monitoring Using IOT\",\"authors\":\"K. Sarada, K. Saikumar, Bhanuprakash Dudi, M. A. Alkhafaji, K. Mohsen\",\"doi\":\"10.1109/INOCON57975.2023.10101301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Medical diagnosis and its records sharing are essential in the medical field. The IoT has offered secure data transfer in any technology platform. According to WHO, around 10 billion people face false diagnoses and treatments yearly due to a lack of medical records maintenance. An advanced IoT-based secure medical records-sharing application design performs in this research work. The proposed method verifies on the python 3.7.0 software tool. The medical records are nothing but MRI scan reports, CT scans, ultrasound Scans, and all other diagnosis reports. Fraudsters have sometimes hacked the physical sharing of the following documents. The internet of things is most prominent and secure in data transfer applications. The IoT sensors have collected information directly from scanning devices in binary or image format. The collected information is loaded to local servers and later stored on the central server. After this, data is monitored by a doctor with proper authentication using secure keys. The designed application has attained a sensitivity of 98.23%, an accuracy of 97.23%, a recall of 98.28%, and a detection rate of 97.91%. The implemented application is beneficial to researchers and doctors for easy treatment. The proposed IoT-based medical records-sharing application competes with present technology and outperforms the methodology.\",\"PeriodicalId\":113637,\"journal\":{\"name\":\"2023 2nd International Conference for Innovation in Technology (INOCON)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 2nd International Conference for Innovation in Technology (INOCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INOCON57975.2023.10101301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference for Innovation in Technology (INOCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INOCON57975.2023.10101301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Records of Patient Health Data and Medical Information Monitoring Using IOT
Medical diagnosis and its records sharing are essential in the medical field. The IoT has offered secure data transfer in any technology platform. According to WHO, around 10 billion people face false diagnoses and treatments yearly due to a lack of medical records maintenance. An advanced IoT-based secure medical records-sharing application design performs in this research work. The proposed method verifies on the python 3.7.0 software tool. The medical records are nothing but MRI scan reports, CT scans, ultrasound Scans, and all other diagnosis reports. Fraudsters have sometimes hacked the physical sharing of the following documents. The internet of things is most prominent and secure in data transfer applications. The IoT sensors have collected information directly from scanning devices in binary or image format. The collected information is loaded to local servers and later stored on the central server. After this, data is monitored by a doctor with proper authentication using secure keys. The designed application has attained a sensitivity of 98.23%, an accuracy of 97.23%, a recall of 98.28%, and a detection rate of 97.91%. The implemented application is beneficial to researchers and doctors for easy treatment. The proposed IoT-based medical records-sharing application competes with present technology and outperforms the methodology.