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基于区块链的医疗数据市场：原型与演示。

A blockchain-based healthcare data marketplace: prototype and demonstration.

作者信息

Kim KangHyun, Kim Sung-Min, Park YoungMin, Lee EunSol, Jung SungJae, Kang Jeongyong, An DongUk, Min Kyungil, Shim Sung Ryul, Yu Hyeong Won, Han Hyun Wook

机构信息

Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam-si, 13488, South Korea.

Department of Development, Medibloc co. Ltd, Seoul, South Korea.

出版信息

JAMIA Open. 2024 Apr 12;7(2):ooae029. doi: 10.1093/jamiaopen/ooae029. eCollection 2024 Jul.

DOI:10.1093/jamiaopen/ooae029
PMID:38617993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11013391/
Abstract

OBJECTIVES

This study aimed to develop healthcare data marketplace using blockchain-based B2C model that ensures the transaction of healthcare data among individuals, companies, and marketplaces.

MATERIALS AND METHODS

We designed an architecture for the healthcare data marketplace using blockchain. A healthcare data marketplace was developed using Panacea, MySQL 8.0, JavaScript library, and Node.js. We evaluated the performance of the data marketplace system in 3 scenarios.

RESULTS

We developed mobile and web applications for healthcare data marketplace. The transaction data queries were executed fully within about 1-2 s, and approximately 9.5 healthcare data queries were processed per minute in each demonstration scenario.

DISCUSSION

Blockchain-based healthcare data marketplaces have shown compliance performance in the process of data collection and will provide a meaningful role in analyzing healthcare data.

CONCLUSION

The healthcare data marketplace developed in this project can iron out time and place limitations and create a framework for gathering and analyzing fragmented healthcare data.

摘要

目标

本研究旨在使用基于区块链的B2C模型开发医疗数据市场，以确保个人、公司和市场之间的医疗数据交易。

材料与方法

我们使用区块链设计了医疗数据市场的架构。使用Panacea、MySQL 8.0、JavaScript库和Node.js开发了一个医疗数据市场。我们在3种场景下评估了数据市场系统的性能。

结果

我们为医疗数据市场开发了移动和Web应用程序。交易数据查询在大约1 - 2秒内完全执行完毕，在每个演示场景中每分钟大约处理9.5条医疗数据查询。

讨论

基于区块链的医疗数据市场在数据收集过程中表现出合规性能，并将在分析医疗数据方面发挥有意义的作用。

结论

本项目中开发的医疗数据市场可以消除时间和地点限制，并创建一个用于收集和分析零散医疗数据框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9628/11013391/f918fa2443a3/ooae029f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9628/11013391/2933ca1e0606/ooae029f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9628/11013391/f3e7d2bd34dc/ooae029f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9628/11013391/f918fa2443a3/ooae029f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9628/11013391/2933ca1e0606/ooae029f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9628/11013391/f3e7d2bd34dc/ooae029f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9628/11013391/f918fa2443a3/ooae029f3.jpg

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