Jieying Chen

Bio: Jieying Chen is an academic researcher from Tongji University. The author has contributed to research in topics: Business process & Information management. The author has an hindex of 2, co-authored 2 publications receiving 30 citations.

An Optimized Consortium Blockchain for Medical Information Sharing

Abstract: Medical information is private, and medical data are valuable for medical research. Thus, medical information sharing is challenging because the data might be manipulated improperly and revealed during the operational process. The accuracy and integrity of medical information should be guaranteed throughout the sharing process. Medical institutions require shared information for scientific research and development; however, the issue of privacy inhibits the sharing process. In this article, we propose a new business process and a blockchain-based platform for medical information sharing. Our method exploits the advantages of blockchain in medical information recording and sharing. Information can be stored, shared, and credibly verified among parties in the distributed network. In addition, we propose a new consensus algorithm and a universal anonymous sharing model. These methods improve the efficiency and security of medical information sharing between users. In this way, both the information and the traces of the transaction can be stored in a distributed manner to prevent manipulation and fraud. Consequently, the value of medical information can be fully utilized.

A Blockchain Application for Medical Information Sharing

Abstract: Medical information are private and medical data are valuable for medical research. Medical information sharing is challenging as the data might be manipulated improperly and revealed during the whole operational process. Medical institutions need shared information for scientific research and develop, on the contrary, privacy issue inhibits the sharing process. In this paper, a new business process and a novel architecture for medical information sharing based on blockchain are proposed. Exploiting the advantage of blockchain in recording transactions, information can be shared and verified among parties like a distributed ledger. On the other hand, medical information can be shared securely between users without an intermediary. The main benefit is that both the information and the traces of the transaction can be distributed stored which avoid manipulation and fraud. Consequently, the value of information can be fully utilized.

A Systematic Review of Blockchain in Healthcare: Frameworks, Prototypes, and Implementations

Abstract: Blockchain, a form of distributed ledger technology has attracted the interests of stakeholders across several sectors including healthcare. Its’ potential in the multi-stakeholder operated sector like health has been responsible for several investments, studies, and implementations. Electronic Health Records (EHR) systems traditionally used for the exchange of health information amongst healthcare stakeholders have been criticised for centralising power, failures and attack-points with exchange data custodians. EHRs have struggled in the face of multi-stakeholder and system requirements while adhering to security, privacy, ethical and other regulatory constraints. Blockchain is promising amongst others to address the many EHR challenges, primarily trustless and secure exchange of health information amongst stakeholders. Many blockchain-in-healthcare frameworks have been proposed; some prototyped and/or implemented. This study leveraged the PRISMA framework to systematically search and evaluate the different models proposed; prototyped and/or implemented. The bibliometric and functional distribution of all 143 articles from this study were presented. This study evaluated 61 articles that discussed either prototypes or pilot or implementations. The technical and architectural analysis of these 61 articles for privacy, security, cost, and performance were detailed. Blockchain was found to solve the trust, security and privacy constraints of traditional EHRs often at significant performance, storage and cost trade-offs.

Blockchain-Enabled Information Sharing Within a Supply Chain: A Systematic Literature Review

Abstract: A supply chain consists of many stakeholders such as suppliers, carriers and customers. It is often complex due to the rapid development of economic globalization and the intense competition pressure in the market which resulted in information sharing within a supply chain to be fragmented. Blockchain technology can solve this problem by having only a “one trusted ledger” that could reshape the element of data trust. The goal of this paper is to identify and understand the impact of blockchain technology for information sharing within a supply chain. The decentralized nature of blockchain technology offers a high level of transparency and has gained the attention from various sectors to deploy this technology. A systematic literature review in the academic literature was conducted using different databases. Blockchain-enabled information sharing can add value to enhance collaborative work in different types of supply chains such as health and medical, construction and smart city. From our findings, one potential impact of deploying blockchain-enabled information sharing within a supply chain is that it ensures all members in the chain can obtain verified information which enhances collaborative partnerships. Through this in-depth research, we highlighted potential barriers that could impede the development of blockchain technology in supply chain such as the lack of understanding of blockchain technology in businesses and conflict of interests. Future work such as information hiding, in parallel with information sharing, could close the gap in deploying this technology within a supply chain. Understanding the nature of different supply chain is also important to better prepare the deployment of blockchain. We acknowledge that our approach in selecting literatures in our systematic review may exclude certain literatures. Nonetheless, we tried to include as many relevant literatures as possible, to develop a roadmap on the current situation of blockchain-enabled information sharing within a supply chain.

Agent architecture of an intelligent medical system based on federated learning and blockchain technology

Abstract: Multi-agent systems enable the division of complicated tasks into individual objects that can cooperate Such architecture can be useful in building solutions in the Internet of Medical Things (IoMT) In this paper, we propose an architecture of such a system that ensures the security of private data, as well as allows the addition and/or modification of the used classification methods The main advantages of the proposed system are based on the implementation of blockchain technology elements and threaded federated learning The individual elements are located on the agents who exchange information Additionally, we propose building an agent with a consortium mechanism for classification results from many machine learning solutions This proposal offers a new model of agents that can be implemented as a system for processing medical data in real-time Our proposition was described and tested to present advantages over other, existing state-of-the-art methods We show, that this proposition can improve the Internet of Medical Thing solutions by presenting a new idea of a multi-agent system that can separate different tasks like security, or classification and as a result minimize operation time and increase accuracy

EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange

Abstract: Recently, researchers around the world in medical institutions and pharmaceutical companies are demanding a wider access to healthcare data for secondary use in order to provide enhanced and personalized medical services. For this purpose, healthcare information exchange between health authorities can be leveraged as a fundamental concept to meet these demands and enable the discovery of new insights and cures. However, health data are highly sensitive and private information that requires strong authentication and authorization procedures to manage the access to them. In this regard, the cloud paradigm has been used in these e-healthcare solutions, but they remain inefficient due to their inability to adapt to the expanding volume of data generated from body sensors and their vulnerability against cyberattacks. Hence, collaborative and distributed data governance supported by edge computing and blockchain promises enormous potentials in improving the performance and security of the whole system. In this paper, we present a secure and efficient data management framework, named ”EdgeMediChain”, for sharing health data. The proposed architecture leverages both edge computing and blockchain to facilitate and provide the necessary requirements for a healthcare ecosystem in terms of scalability, security, as well as privacy. The Ethereum-based testbed evaluations show the effectiveness of EdgeMediChain in terms of execution time with a reduction of nearly 84.75% for 2000 concurrent transactions, higher throughput compared to a traditional blockchain, and scalable ledger storage with a linear growth rate.