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Intelligent Health Care Data Management Using Blockchain: Current Limitation and Future Research Agenda

Authors :
Scott Thiebes
Alevtina Dubovitskaya
Fusheng Wang
Michael Schumacher
Petr Novotny
Zhigang Xu
Ali Sunyaev
Source :
Heterogeneous Data Management, Polystores, and Analytics for Healthcare ISBN: 9783030337513, Poly/DMAH@VLDB
Publication Year :
2019
Publisher :
Springer International Publishing, 2019.

Abstract

Health care is undergoing a big data revolution, with vast amounts of information supplied from numerous sources, leading to major paradigm shifts including precision medicine and AI-driven health care among others. Yet, there still exist significant barriers before such approaches could be adopted in practice, including data integration and interoperability, data sharing, security and privacy protection, scalability, and policy and regulatory issues. Blockchain provides a unique opportunity to tackle major challenges in health care and biomedical research, such as enabling data sharing and integration for patient-centered care, data provenance allowing verification authenticity of the data, and optimization of some of the health care processes among others. Nevertheless, technological constraints of current blockchain technologies necessitate further research before mass adoption of blockchain-based health care data management is possible. We analyze context-based requirements and capabilities of the available technology and propose a research agenda and new approaches towards achieving intelligent health care data management using blockchain.

Details

ISBN :
978-3-030-33751-3
ISBNs :
9783030337513
Database :
OpenAIRE
Journal :
Heterogeneous Data Management, Polystores, and Analytics for Healthcare ISBN: 9783030337513, Poly/DMAH@VLDB
Accession number :
edsair.doi...........d3eaccc36fe185b6f1522f88e4e4a031
Full Text :
https://doi.org/10.1007/978-3-030-33752-0_20