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Comparison of blockchain platforms: a systematic review and healthcare examples.


ABSTRACT:

Objectives

To introduce healthcare or biomedical blockchain applications and their underlying blockchain platforms, compare popular blockchain platforms using a systematic review method, and provide a reference for selection of a suitable blockchain platform given requirements and technical features that are common in healthcare and biomedical research applications.

Target audience

Healthcare or clinical informatics researchers and software engineers who would like to learn about the important technical features of different blockchain platforms to design and implement blockchain-based health informatics applications.

Scope

Covered topics include (1) a brief introduction to healthcare or biomedical blockchain applications and the benefits to adopt blockchain; (2) a description of key features of underlying blockchain platforms in healthcare applications; (3) development of a method for systematic review of technology, based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement, to investigate blockchain platforms for healthcare and medicine applications; (4) a review of 21 healthcare-related technical features of 10 popular blockchain platforms; and (5) a discussion of findings and limitations of the review.

SUBMITTER: Kuo TT 

PROVIDER: S-EPMC7787359 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Publications

Comparison of blockchain platforms: a systematic review and healthcare examples.

Kuo Tsung-Ting TT   Zavaleta Rojas Hugo H   Ohno-Machado Lucila L  

Journal of the American Medical Informatics Association : JAMIA 20190501 5


<h4>Objectives</h4>To introduce healthcare or biomedical blockchain applications and their underlying blockchain platforms, compare popular blockchain platforms using a systematic review method, and provide a reference for selection of a suitable blockchain platform given requirements and technical features that are common in healthcare and biomedical research applications.<h4>Target audience</h4>Healthcare or clinical informatics researchers and software engineers who would like to learn about  ...[more]

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