{"title":"基于区块链的分布式电子健康记录模型","authors":"Tiago Quaini, Alex Roehrs, C. Costa, R. R. Righi","doi":"10.33965/IJWI_2018161205","DOIUrl":null,"url":null,"abstract":"Electronic health records (EHR) are usually maintained in a centralized way by health organizations, leaving aside an integration between different health organizations to view the complete health history of a given patient. This lack of EHR integration prevents patients and physicians to have a unified view of medical records, which are often stored in different health organizations. Recent studies have proposed using Blockchain technology in distributed architectures due to its security and integration properties. In this context, this article proposes an application architecture using Blockchain technology for distributed EHR integration, which is called UniRec (Unified Medical Records). In the proposed model we seek to understand its effectivity, performance and applicability, using a case study methodology. We developed a prototype, which is evaluated using a test scenario. The prototype proved to be effective for distributed EHR integration, allowing one healthcare institution to view an EHR previously added by different providers, after being granted permission. During the test scenario execution, we obtained an average response time of 2.77 seconds, 961.6 MiB of memory consumption, 21.5% CPU usage and a total disk usage of 34.6 MB. The results reinforce the potential and feasibility of employing Blockchain for managing and storing medical data.","PeriodicalId":245560,"journal":{"name":"IADIS INTERNATIONAL JOURNAL ON WWW/INTERNET","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A MODEL FOR BLOCKCHAIN-BASED DISTRIBUTED ELECTRONIC HEALTH RECORDS\",\"authors\":\"Tiago Quaini, Alex Roehrs, C. Costa, R. R. Righi\",\"doi\":\"10.33965/IJWI_2018161205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electronic health records (EHR) are usually maintained in a centralized way by health organizations, leaving aside an integration between different health organizations to view the complete health history of a given patient. This lack of EHR integration prevents patients and physicians to have a unified view of medical records, which are often stored in different health organizations. Recent studies have proposed using Blockchain technology in distributed architectures due to its security and integration properties. In this context, this article proposes an application architecture using Blockchain technology for distributed EHR integration, which is called UniRec (Unified Medical Records). In the proposed model we seek to understand its effectivity, performance and applicability, using a case study methodology. We developed a prototype, which is evaluated using a test scenario. The prototype proved to be effective for distributed EHR integration, allowing one healthcare institution to view an EHR previously added by different providers, after being granted permission. During the test scenario execution, we obtained an average response time of 2.77 seconds, 961.6 MiB of memory consumption, 21.5% CPU usage and a total disk usage of 34.6 MB. The results reinforce the potential and feasibility of employing Blockchain for managing and storing medical data.\",\"PeriodicalId\":245560,\"journal\":{\"name\":\"IADIS INTERNATIONAL JOURNAL ON WWW/INTERNET\",\"volume\":\"164 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IADIS INTERNATIONAL JOURNAL ON WWW/INTERNET\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33965/IJWI_2018161205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IADIS INTERNATIONAL JOURNAL ON WWW/INTERNET","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33965/IJWI_2018161205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
摘要
电子健康记录(EHR)通常由卫生组织以集中的方式维护,不考虑不同卫生组织之间的集成,以查看给定患者的完整健康史。由于缺乏EHR集成,患者和医生无法统一查看通常存储在不同卫生组织中的医疗记录。由于其安全性和集成特性,最近的研究提出在分布式架构中使用区块链技术。在此背景下,本文提出了一种使用区块链技术进行分布式EHR集成的应用架构,称为UniRec (Unified Medical Records)。在提出的模型中,我们试图了解其有效性,性能和适用性,使用案例研究方法。我们开发了一个原型,使用测试场景对其进行评估。该原型被证明对于分布式EHR集成是有效的,允许一个医疗保健机构在获得许可后查看以前由不同提供者添加的EHR。在测试场景执行过程中,我们获得的平均响应时间为2.77秒,内存消耗为961.6 MiB, CPU使用率为21.5%,磁盘总使用率为34.6 MB。结果增强了使用区块链管理和存储医疗数据的潜力和可行性。
A MODEL FOR BLOCKCHAIN-BASED DISTRIBUTED ELECTRONIC HEALTH RECORDS
Electronic health records (EHR) are usually maintained in a centralized way by health organizations, leaving aside an integration between different health organizations to view the complete health history of a given patient. This lack of EHR integration prevents patients and physicians to have a unified view of medical records, which are often stored in different health organizations. Recent studies have proposed using Blockchain technology in distributed architectures due to its security and integration properties. In this context, this article proposes an application architecture using Blockchain technology for distributed EHR integration, which is called UniRec (Unified Medical Records). In the proposed model we seek to understand its effectivity, performance and applicability, using a case study methodology. We developed a prototype, which is evaluated using a test scenario. The prototype proved to be effective for distributed EHR integration, allowing one healthcare institution to view an EHR previously added by different providers, after being granted permission. During the test scenario execution, we obtained an average response time of 2.77 seconds, 961.6 MiB of memory consumption, 21.5% CPU usage and a total disk usage of 34.6 MB. The results reinforce the potential and feasibility of employing Blockchain for managing and storing medical data.