On the Design of a Blockchain Platform for Clinical Trial and Precision Medicine
Abstract
This paper proposes a blockchain platform architecture for clinical trial and precision medicine and discusses various design aspects and provides some insights in the technology requirements and challenges. We identify 4 new system architecture components that are required to be built on top of traditional blockchain and discuss their technology challenges in our blockchain platform: (a) a new blockchain based general distributed and parallel computing paradigm component to devise and study parallel computing methodology for big data analytics, (b) blockchain application data management component for data integrity, big data integration, and integrating disparity of medical related data, (c) verifiable anonymous identity management component for identity privacy for both person and Internet of Things (IoT) devices and secure data access to make possible of the patient centric medicine, and (d) trust data sharing management component to enable a trust medical data ecosystem for collaborative research.
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A blockchain-based platform architecture for clinical trials and precision medicine has been presented.
“Another healthcare BIoT application is detailed in [70], where it is presented the architecture of a blockchain-based platform for clinical trials and precision medicine.”
From A Review on the Use of Blockchain for the Internet of Things (2018) · cites this paper as [70]
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- Authors
- Shae, Z., & Tsai, J. J. P.
- Affiliations
- Asia University (TW)
- ORCID
- Tsai, Jeffrey J.P.
- Venue
- 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
- Publisher
- IEEE
- Published
- 2017-06
- Pages
- 1972-1980
- OpenAlex
- W2735656452
- Cited by
- 233
- References
- 0
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 23 · 2023: 28 · 2022: 32 · 2021: 46 · 2020: 39 · 2019: 39 · 2018: 14
- FWCI
- 19.33
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Distributed Computing Systems (ICDCS) (publishedVersion)
- Funders
- National Institutes of Health
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- clinical trials, precision medicine, distributed parallel computing, big data analytics, data integrity, health data integration, IoT devices, research collaboration
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