科研成果详情

题名Blockchain and big data to transform the healthcare
作者
发表日期2018-05-12
会议名称2018 International Conference on Data Processing and Applications, ICDPA 2018
会议录名称ACM International Conference Proceeding Series
ISBN978-145036418-8
页码62-68
会议日期MAY 12-14, 2018
会议地点Guangzhou, China
摘要

The increase in reported incidents of security breaches that compromise privacy of individuals requires us to question the current model used to collect patient information. What we have learned from bitcoin and the underlying blockchain technology is that there are ways for us to protect this information by using a distributed ledger. In this paper, we review and propose a solution that can be used to manage individual health data as well as cross-institutional sharing of this information. The solution will increase clinical effectiveness and an increase in research when the data is shared with researchers. The proposed system solution based on blockchain technology that includes providers, hospitals and clinic, insurance companies, and patients. All along the ownership of the data would belong to the individual or the patient. In the solution, we suggest to adopt a private blockchain solution where all participants are known and trusted, which allows for privacy and security of the data.

关键词Big data Blockchain Healthcare: patent data: privacy
DOI10.1145/3224207.3224220
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语种英语English
Scopus入藏号2-s2.0-85055518961
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/7184
专题个人在本单位外知识产出
作者单位
1.Department of Computer and Information Sciences, Fordham University, United States
2.School of Computer Science and Educational Software, Guangzhou University, Guangzhou, 510006, China
3.School of Computer Science, Baoji University of Art and Science, Shaanxi, China
4.Department of Computer Science and Technology, Huaqiao University, Fujian, 361021, China
5.Information Systems Department, King Saud University, Riyadh, Saudi Arabia
推荐引用方式
GB/T 7714
Alam Bhuiyan, Md Zakirul,Wang, Guojun,Zaman, Aliuzet al. Blockchain and big data to transform the healthcare[C], 2018: 62-68.
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