TY - GEN
T1 - Intelligent Health Care Data Management Using Blockchain
T2 - International Workshops on Polystores and other Systems for Heterogeneous Data, Poly 2018, and Data Management and Analytics for Medicine and Healthcare, DMAH 2018 held in conjunction with the 44th International Conference on Very Large Data Bases, VLDB 2018
AU - Dubovitskaya, Alevtina
AU - Novotny, Petr
AU - Thiebes, Scott
AU - Sunyaev, Ali
AU - Schumacher, Michael
AU - Xu, Zhigang
AU - Wang, Fusheng
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Blockchain
KW - Health care
KW - Intelligent data management
UR - https://www.scopus.com/pages/publications/85077773544
U2 - 10.1007/978-3-030-33752-0_20
DO - 10.1007/978-3-030-33752-0_20
M3 - Conference contribution
AN - SCOPUS:85077773544
SN - 9783030337513
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 277
EP - 288
BT - Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB 2019 Workshops, Poly and DMAH, Los Angeles, CA, USA, August 30, 2019, Revised Selected Papers
A2 - Gadepally, Vijay
A2 - Mattson, Timothy
A2 - Stonebraker, Michael
A2 - Wang, Fusheng
A2 - Luo, Gang
A2 - Laing, Yanhui
A2 - Dubovitskaya, Alevtina
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 30 August 2018 through 30 August 2018
ER -