A Novel Blockchain-Based Model for Blood Donation System

IF 1.1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS EAI Endorsed Transactions on Scalable Information Systems Pub Date : 2022-08-16 DOI:10.4108/eetcasa.v8i1.2546
M. H. Zafar, I. Khan, A. U. Rehman, S. Zafar
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引用次数: 1

Abstract

In Pakistan, existing blood control systems or blood information management systems are limited in terms of efficient data retrieval of donor to consumer. There is no communication network in place for extra blood in one location to be demanded from a region if blood is limited, resulting in blood wastage. Due to a lack of accessibility and sufficient blood quality testing, blood contaminated with illnesses such as HIV has been used for transfusion in some cases. This study proposes a ledger blood management system to address these challenges. The trail has been represented as a supply-chain management problem following the blood. By trailing the blood stream and donation a single platform for transferring blood and the problem results among blood groups, the proposed system, built on the hyperledger fabric model, adds more traceability toward the blood transfusion process. It also helps to reduce unjustified blood wastage by providing an integrated system for transferring lifeblood and the thing extracts among lifeblood banks. A web app is also designed for accessing the network for simplicity of usage and security is enhanced by implementing block chain hyperfebric ledger system through Key Value System (KVS) system.
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一种基于区块链的新型献血系统模型
在巴基斯坦,现有的血液控制系统或血液信息管理系统在从献血者到消费者的有效数据检索方面受到限制。如果血液有限,没有适当的通信网络,以便在一个地方从一个地区要求额外的血液,从而导致血液浪费。由于缺乏可获得性和足够的血液质量检测,在某些情况下,被艾滋病毒等疾病污染的血液被用于输血。本研究提出了一个分类血液管理系统来解决这些挑战。这条线索被描述为血液之后的供应链管理问题。通过追踪血液流动和献血,一个单一的平台来传递血液和血型之间的问题结果,该系统建立在超级分类账结构模型上,为输血过程增加了更多的可追溯性。它还提供了一个在血库之间转移血液和提取物的综合系统,有助于减少不合理的血液浪费。还设计了一个用于访问网络的web应用程序,以简化使用,并通过Key Value system (KVS)系统实现区块链超纤分类账系统,提高了安全性。
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来源期刊
EAI Endorsed Transactions on Scalable Information Systems
EAI Endorsed Transactions on Scalable Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.80
自引率
15.40%
发文量
49
审稿时长
10 weeks
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