Intelligent healthcare data management using blockchain : current limitation and future research agenda

Dubovitskaya, Alevtina (Lucerne University of Applied Sciences and Arts; Swisscom, Switzerland) ; Novotny, Petr (IBM T.J. Watson Research Center, USA) ; Thiebes, Scott (Karlsruhe Institute of Technology, Germany) ; Sunyaev, Ali (Karlsruhe Institute of Technology, Germany) ; Schumacher, Michael (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Xu, Zhigang (Stony Brook University Hospital, USA) ; Wang, Fusheng (Stony Brook University, USA)

Abstract. Healthcare is undergoing a big data revolution, with vast amounts of information supplied from numerous sources, leading to ma-jor paradigm shifts including precision medicine and AI driven healthcare among others. Yet, there still exist significant barriers before such ap-proaches could be adopted in practice, including data integration and interoperability, data sharing, security and privacy protection, scalabil-ity, policy, and regulations. Blockchain provides a unique opportunity to tackle major challenges in healthcare and biomedical research, such as en-abling data sharing and integration for patient-centered care, data prove-nance allowing verification authenticity of the data, and optimization of some of the healthcare processes among others. Nevertheless, technolog-ical constraints of the current blockchain technologies necessitate further research before mass adoption of the blockchain-based healthcare data management is possible. We analyze context-based requirements and ca-pabilities of the available technology and propose a research agenda and new approaches towards achieving intelligent healthcare-data manage-ment using blockchain.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Los Angeles, USA, 26-30 August 2019
Date:
2019-08
Los Angeles, USA
26-30 August 2019
Pagination:
12 p.
Published in:
Proceedings of the 45th International Conference on Very Large Data Bases (VLDB) 2019
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2019-10-24, last modified 2019-11-28

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