{"title":"\"Issues and Challenges of using Blockchain for IoT Data Management in Smart Healthcare\"","authors":"Andreas Kanavos","doi":"10.26717/bjstr.2021.40.006423","DOIUrl":null,"url":null,"abstract":"The agile advancement of technologies utilizing the Internet of Things (IoT) has significantly improved healthrelated services such as electronic drug prescriptions as well as Electronic Health Records (EHR) insurance information [1,2]. The collection of patients’ medical data can be made more accessible using IoT technologies by improving workflow automation. As a result, meaningful information about patients’ symptoms is provided immediately, facilitating their treatment and remote monitoring in real-time [3,4]. A significant advantage is that it is possible to monitor patients from home via wireless sensors, thus reducing the need for regular hospital visits [5]. Furthermore, these medical devices can send alerts if something serious happens [6-8]. Also, the patient’s surrounding area can be monitored, and, through data processing, health conclusions can be drawn [9]. The volume of data stored in EHRs has increased significantly through the use of IoT devices located in different locations, and managing this data is extremely difficult [10]. Cyberattacks have also increased as most medical systems are vulnerable to a single point of failure resulting in information leakage with severe consequences [11].","PeriodicalId":9035,"journal":{"name":"Biomedical Journal of Scientific & Technical Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Journal of Scientific & Technical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26717/bjstr.2021.40.006423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The agile advancement of technologies utilizing the Internet of Things (IoT) has significantly improved healthrelated services such as electronic drug prescriptions as well as Electronic Health Records (EHR) insurance information [1,2]. The collection of patients’ medical data can be made more accessible using IoT technologies by improving workflow automation. As a result, meaningful information about patients’ symptoms is provided immediately, facilitating their treatment and remote monitoring in real-time [3,4]. A significant advantage is that it is possible to monitor patients from home via wireless sensors, thus reducing the need for regular hospital visits [5]. Furthermore, these medical devices can send alerts if something serious happens [6-8]. Also, the patient’s surrounding area can be monitored, and, through data processing, health conclusions can be drawn [9]. The volume of data stored in EHRs has increased significantly through the use of IoT devices located in different locations, and managing this data is extremely difficult [10]. Cyberattacks have also increased as most medical systems are vulnerable to a single point of failure resulting in information leakage with severe consequences [11].