{"title":"用区块链跟踪临床试验并增强医疗记录的安全性和控制","authors":"Aymen Anwar, S. B. Goyal, Ankush Ghosh","doi":"10.1109/iccca52192.2021.9666276","DOIUrl":null,"url":null,"abstract":"The healthcare system uses a centralized system, where a patient's record is stored in the healthcare provider's database. Internet of Things has made a big impact on the healthcare industry. Its centralized databases are prone to privacy and security risks. This paper proposed a research concept based on the blockchain to the healthcare sector for health record access control and providing a way for clinical trials to be tracked with authentic unhampered data on time. Clinical trials outcome success relies heavily on accurate data analyses, the risk of having inaccurate results due to tampered data can be vital. The objectives of the research are to develop a system for patient-doctor interactions using blockchain, enhanced security and control mechanisms for medical record management, to track clinical trials and pharmaceuticals with blockchain, to assess the impact of blockchain on the healthcare industries, to assess the success of blockchain on healthcare industries. Here, we need to develop a blockchain-based meta-model to handle the security and privacy issues in healthcare record-keeping and IoT & Machine Learning to trace the impact of medicines and vaccines on patients in clinical trial scenarios. At the end of this research, we expect a better system where the research and development personnel will have access to real-time data confirmed across the other network members involved.","PeriodicalId":399605,"journal":{"name":"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tracking Clinical Trials and Enhancement of Security & Control with Blockchain for Medical Record\",\"authors\":\"Aymen Anwar, S. B. Goyal, Ankush Ghosh\",\"doi\":\"10.1109/iccca52192.2021.9666276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The healthcare system uses a centralized system, where a patient's record is stored in the healthcare provider's database. Internet of Things has made a big impact on the healthcare industry. Its centralized databases are prone to privacy and security risks. This paper proposed a research concept based on the blockchain to the healthcare sector for health record access control and providing a way for clinical trials to be tracked with authentic unhampered data on time. Clinical trials outcome success relies heavily on accurate data analyses, the risk of having inaccurate results due to tampered data can be vital. The objectives of the research are to develop a system for patient-doctor interactions using blockchain, enhanced security and control mechanisms for medical record management, to track clinical trials and pharmaceuticals with blockchain, to assess the impact of blockchain on the healthcare industries, to assess the success of blockchain on healthcare industries. Here, we need to develop a blockchain-based meta-model to handle the security and privacy issues in healthcare record-keeping and IoT & Machine Learning to trace the impact of medicines and vaccines on patients in clinical trial scenarios. At the end of this research, we expect a better system where the research and development personnel will have access to real-time data confirmed across the other network members involved.\",\"PeriodicalId\":399605,\"journal\":{\"name\":\"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iccca52192.2021.9666276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccca52192.2021.9666276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tracking Clinical Trials and Enhancement of Security & Control with Blockchain for Medical Record
The healthcare system uses a centralized system, where a patient's record is stored in the healthcare provider's database. Internet of Things has made a big impact on the healthcare industry. Its centralized databases are prone to privacy and security risks. This paper proposed a research concept based on the blockchain to the healthcare sector for health record access control and providing a way for clinical trials to be tracked with authentic unhampered data on time. Clinical trials outcome success relies heavily on accurate data analyses, the risk of having inaccurate results due to tampered data can be vital. The objectives of the research are to develop a system for patient-doctor interactions using blockchain, enhanced security and control mechanisms for medical record management, to track clinical trials and pharmaceuticals with blockchain, to assess the impact of blockchain on the healthcare industries, to assess the success of blockchain on healthcare industries. Here, we need to develop a blockchain-based meta-model to handle the security and privacy issues in healthcare record-keeping and IoT & Machine Learning to trace the impact of medicines and vaccines on patients in clinical trial scenarios. At the end of this research, we expect a better system where the research and development personnel will have access to real-time data confirmed across the other network members involved.