TY - JOUR
T1 - Convergence of Blockchain, Autonomous Agents, and Knowledge Graph to Share Electronic Health Records
AU - Yao, Yao
AU - Kshirsagar, Meghana
AU - Vaidya, Gauri
AU - Ducrée, Jens
AU - Ryan, Conor
N1 - Publisher Copyright:
Copyright © 2021 Yao, Kshirsagar, Vaidya, Ducrée and Ryan.
PY - 2021
Y1 - 2021
N2 - In this article, we discuss a data sharing and knowledge integration framework through autonomous agents with blockchain for implementing Electronic Health Records (EHR). This will enable us to augment existing blockchain-based EHR Systems. We discuss how major concerns in the health industry, i.e., trust, security and scalability, can be addressed by transitioning from existing models to convergence of the three technologies – blockchain, agent-based modeling, and knowledge graph in a decentralized ecosystem. Each autonomous agent is responsible for instantiating key processes, such as user authentication and authorization, smart contracts, and knowledge graph generation through data integration among the participating stakeholders in the network. We discuss a layered approach for the design of the proposed system leading to an enhanced, safer clinical decision-making system. This can pave the way toward more informed and engaged patients and citizens by delivering personalized healthcare.
AB - In this article, we discuss a data sharing and knowledge integration framework through autonomous agents with blockchain for implementing Electronic Health Records (EHR). This will enable us to augment existing blockchain-based EHR Systems. We discuss how major concerns in the health industry, i.e., trust, security and scalability, can be addressed by transitioning from existing models to convergence of the three technologies – blockchain, agent-based modeling, and knowledge graph in a decentralized ecosystem. Each autonomous agent is responsible for instantiating key processes, such as user authentication and authorization, smart contracts, and knowledge graph generation through data integration among the participating stakeholders in the network. We discuss a layered approach for the design of the proposed system leading to an enhanced, safer clinical decision-making system. This can pave the way toward more informed and engaged patients and citizens by delivering personalized healthcare.
KW - EHR data
KW - agent based modeling
KW - blockchains
KW - data sharing
KW - knowledge graphs
KW - knowledge integration
KW - smart healthcare
UR - http://www.scopus.com/inward/record.url?scp=85113814861&partnerID=8YFLogxK
U2 - 10.3389/fbloc.2021.661238
DO - 10.3389/fbloc.2021.661238
M3 - Article
AN - SCOPUS:85113814861
SN - 2624-7852
VL - 4
JO - Frontiers in Blockchain
JF - Frontiers in Blockchain
M1 - 661238
ER -