FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data
July 09, 2018 ยท Declared Dead ยท ๐ Computational and Structural Biotechnology Journal
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Peng Zhang, Jules White, Douglas C. Schmidt, Gunther Lenz, S. Trent Rosenbloom
arXiv ID
1807.03227
Category
cs.CY: Computers & Society
Cross-listed
cs.CR
Citations
638
Venue
Computational and Structural Biotechnology Journal
Last Checked
1 month ago
Abstract
Secure and scalable data sharing is essential for collaborative clinical decision making. Conventional clinical data efforts are often siloed, however, which creates barriers to efficient information exchange and impedes effective treatment decision made for patients. This paper provides four contributions to the study of applying blockchain technology to clinical data sharing in the context of technical requirements defined in the "Shared Nationwide Interoperability Roadmap" from the Office of the National Coordinator for Health Information Technology (ONC). First, we analyze the ONC requirements and their implications for blockchain-based systems. Second, we present FHIRChain, which is a blockchain-based architecture designed to meet ONC requirements by encapsulating the HL7 Fast Healthcare Interoperability Resources (FHIR) standard for shared clinical data. Third, we demonstrate a FHIRChain-based decentralized app using digital health identities to authenticate participants in a case study of collaborative decision making for remote cancer care. Fourth, we highlight key lessons learned from our case study.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computers & Society
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Artificial Intelligence: the global landscape of ethics guidelines
R.I.P.
๐ป
Ghosted
The role of artificial intelligence in achieving the Sustainable Development Goals
R.I.P.
๐ป
Ghosted
Green AI
R.I.P.
๐ป
Ghosted
Principles alone cannot guarantee ethical AI
R.I.P.
๐ป
Ghosted
Tackling Climate Change with Machine Learning
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted