EconPapers    
Economics at your fingertips  
 

Blockchain-Based Decentralized Accountability and Self-Sovereignty in Healthcare Systems

Sachin Shetty (), Xueping Liang, Daniel Bowden, Juan Zhao and Lingchen Zhang
Additional contact information
Sachin Shetty: Old Dominion University
Xueping Liang: Old Dominion University
Daniel Bowden: Sentara Healthcare
Juan Zhao: Vanderbilt University Medical Center
Lingchen Zhang: Information Engineering, Chinese Academy of Sciences

Chapter 5 in Business Transformation through Blockchain, 2019, pp 119-149 from Springer

Abstract: Abstract This chapter presents a blockchain-based solution to ensure secure and convenient sharing of personal health data. With the advent of mobile and wearable technology and rising concerns about potential privacy issues and vulnerabilities in current personal health data storage and sharing systems, there is a desire for a trusted information sharing framework to ensure security and privacy of personal health data. We present a permissioned blockchain and Intel Software Guard Extensions (SGX) empowered user-centric health data sharing solution. The blockchain-based design involves anchoring the operations on records on the blockchain network, preserves the integrity of the health data and provides proof of integrity and validation permanently retrievable from cloud database. The privacy is ensured through leveraging Intel SGX’s capabilities. We present in detail how the integrated blockchain and SGX platform can ensure integrity and privacy of health data. We demonstrate how through a Web application for personal health data management (PHDM) systems, the individuals are capable of synchronizing sensor data from wearable devices with online account and controlling data access from any third parties. The protected personal health data and data access records are hashed and anchored to a permanent but secure ledger with platform dependency, ensuring data integrity and accountability. We provide results that indicate our approach provides user privacy and accountability with acceptable overhead. We discuss scalability issues and present a tree-based data processing and batching method can handle large datasets.

Keywords: Blockchain; Healthcare security; Health data privacy; Permissioned blockchain; Software guard extension; User-centric health data sharing; Medical devices (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-99058-3_5

Ordering information: This item can be ordered from
http://www.springer.com/9783319990583

DOI: 10.1007/978-3-319-99058-3_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-3-319-99058-3_5