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2024 | OriginalPaper | Chapter

Transforming Child Health Records: Integrating Blockchain, NFTs, and IPFS for Enhanced Medical Data Management

Authors : T. L. Quy, N. D. P. Trong, H. V. Khanh, H. L. Huong, T. D. Khoa, H. G. Khiem, N. T. Phuc, M. D. Hieu, V. C. P. Loc, N. H. Kha, N. T. Anh, Q. N. Hien, L. K. Bang, Q. T. Bao, N. T. K. Ngan, M. N. Triet

Published in: Mobile, Secure, and Programmable Networking

Publisher: Springer Nature Switzerland

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Abstract

In the rapidly evolving landscape of medical record management, the traditional methods often grapple with issues related to data security, integrity, and accessibility. This paper introduces a groundbreaking approach to pediatric medical data management by leveraging the robust capabilities of blockchain, Non-Fungible Tokens (NFTs), InterPlanetary File System (IPFS), and distributed ledgers. Our proposed model meticulously addresses the limitations of the conventional systems by ensuring data immutability, transparency, and decentralized control. Starting with the creation of a unique Global ID for children, we outline a detailed 10-step approach to data storage, query, and update, emphasizing the pivotal roles of smart contracts and NFTs in guaranteeing data authenticity and uniqueness. The implementation section delves deeper into the intricacies of transaction creation, data query, and update mechanisms, underscoring the importance of secure interfaces, rigorous verification processes, and seamless synchronization with decentralized storage solutions. With the confluence of these advanced technologies, our approach promises a transformative shift in pediatric healthcare, simplifying processes for healthcare professionals and ensuring data security and privacy for patients.

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Footnotes
1
References for the platforms can be added here.
 
2
Pinata is a noted IPFS developer API https://​www.​pinata.​cloud/​.
 
3
We deploy the smart contract and collect the price in Sept 24th 2023.
 
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Metadata
Title
Transforming Child Health Records: Integrating Blockchain, NFTs, and IPFS for Enhanced Medical Data Management
Authors
T. L. Quy
N. D. P. Trong
H. V. Khanh
H. L. Huong
T. D. Khoa
H. G. Khiem
N. T. Phuc
M. D. Hieu
V. C. P. Loc
N. H. Kha
N. T. Anh
Q. N. Hien
L. K. Bang
Q. T. Bao
N. T. K. Ngan
M. N. Triet
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-52426-4_9

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