Skip to main content

OPINION article

Front. Digit. Health, 11 January 2024
Sec. Health Informatics

Revolutionizing healthcare information systems with blockchain

  • Global Health Research Center, Duke Kunshan University, Kunshan, China

Introduction

The healthcare industry has long grappled with the challenges of ensuring the integrity, security, and traceability of patient data. Traditional healthcare information systems often face issues like data falsification, single points of failure, and a lack of data traceability. In recent years, blockchain technology has emerged as a promising solution to address these problems. This article explores the potential of using blockchain technology to construct a robust and reliable healthcare information system.

Blockchain technology in healthcare

Blockchain technology, which underlies cryptocurrencies like Bitcoin, offers three key characteristics that can revolutionize healthcare information systems:

1. Consensus Mechanism: Blockchain utilizes consensus mechanisms such as Proof of Work or Proof of Stake to incentivize network participants (nodes) to contribute valid data. This ensures the integrity of the data and addresses the challenge of potential data falsification (1).

2. Distributed Ledger: The distributed nature of blockchain eliminates the possibility of a single point of failure. Multiple nodes simultaneously perform identical tasks, enhancing the system's reliability (2).

3. Chain Structure: The chain structure of blockchain greatly enhances the traceability of healthcare information, from its generation to workflow (3).

Practical applications and advantages

Several blockchain-based systems have already been developed for healthcare information management:

1. MedChain System: MedChain introduces a novel incentive mechanism focused on data validation, which ensures consistency and sustainability, reducing the risk of data falsification (4).

2. LifeCODE.ai: This system employs a distributed ledger to prevent single points of failure and ensures the reliable and steady recording of data, even on mobile devices (5).

3. Polygon: As an Ethereum sidechain system, Polygon boasts a strong chain structure and provides robust traceability capabilities in data management (6).

Numerous researchers have demonstrated the advantages of using blockchain in healthcare information systems. Experimental approaches have shown the feasibility and efficacy of this technology in enhancing the storage and management of healthcare data (7).

Challenges to overcome

While blockchain technology offers substantial benefits, there are challenges that must be addressed when adopting it in healthcare information systems:

1. Transaction Speed: Blockchains, such as Bitcoin, often have unsatisfying transactions per second (TPS) and may experience congestion during the transmission of healthcare information, requiring higher throughput (8). In response to this challenge, Layer 2 scaling solutions like Lightning Network for Bitcoin or Sidechains for Ethereum may hold promise as resolution (9, 10).

2. Transaction Fees: Every transaction of healthcare information on a blockchain network requires a fee, making it essential to reduce these costs to ensure the economic viability of the system (11). Some blockchains have proposed solutions to reduce transaction fees, exemplified by Ethereum's EIP-1559 pricing scheme and Arbitrum's Optimistic Rollups mechanism (12, 13).

3. Off-Chain Data Compatibility: The immaturity of off-chain aggregation mechanisms presents difficulties in synchronizing off-chain healthcare information with the blockchain, hindering data consistency (14). In this regard, Chainlink offers an Oracle solution to efficiently transmit off-chain data onto the blockchain, which enables the synchronization and consistency of on-chain and off-chain healthcare information (15).

The way forward: Blockchain 3.0 and Internet Computer Protocol

To overcome these challenges and construct a more advanced healthcare information system on the blockchain, it is crucial to explore the potential of Blockchain 3.0 technology, such as Internet Computer Protocol. Blockchain 3.0 aims to enhance scalability, reduce transaction costs, and improve data compatibility, making it a promising candidate for the future of healthcare information systems.

Conclusion

Blockchain technology presents a compelling solution to the long-standing challenges of healthcare information management. While there are obstacles to overcome, the benefits of enhanced data integrity, security, and traceability make the adoption of blockchain in healthcare a worthwhile endeavor. With the ongoing development of Blockchain 3.0 technologies like Internet Computer Protocol, the future of healthcare information systems holds great promise.

Author contributions

DW: Writing – original draft. YW: Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Guo H, Zheng H, Xu K, Kong X, Liu J, Liu F, et al. An improved consensus mechanism for blockchain. Smart Blockchain: First International Conference, SmartBlock 2018, Tokyo, Japan; December 10–12, 2018, Proceedings 1. Springer International Publishing (2018). p. 129–38. doi: 10.1007/978-3-030-05764-0_14

2. Alavizadeh AS, Erfani SH, Mirabi M, Sahafi A. An efficient distributed and secure algorithm for transaction confirmation in IOTA using cloud computing. J Supercomput. (2023) 79:1–31. doi: 10.1007/s11227-023-05525-4

Crossref Full Text | Google Scholar

3. Lim SY, Fotsing PT, Almasri A, Musa O, Kiah MLM, Ang TF, et al. Blockchain technology the identity management and authentication service disruptor: a survey. Int J Adv Sci Eng Inf Technol. (2018) 8(4–2):1735–45. doi: 10.18517/ijaseit.8.4-2.6838

Crossref Full Text | Google Scholar

4. Xia QI, Sifah EB, Asamoah KO, Gao J, Du X, Guizani M. MeDShare: trust-less medical data sharing among cloud service providers via blockchain. IEEE Access. (2017) 5:14757–67. doi: 10.1109/ACCESS.2017.2730843

Crossref Full Text | Google Scholar

5. Jin XL, Zhang M, Zhou Z, Yu X. Application of a blockchain platform to manage and secure personal genomic data: a case study of LifeCODE. ai in China. J Med Internet Res. (2019) 21(9):e13587. doi: 10.2196/13587

PubMed Abstract | Crossref Full Text | Google Scholar

6. Kravenkit S, So-In C. Blockchain-based traceability system for product recall. IEEE Access. (2022) 10:95132–50. doi: 10.1109/ACCESS.2022.3204750

Crossref Full Text | Google Scholar

7. Panwar A, Bhatnagar V, Khari M, Salehi AW, Gupta G. A blockchain framework to secure personal health record (PHR) in IBM cloud-based data lake. Comput Intell Neurosci. (2022) 2022:3045107. doi: 10.1155/2022/3045107

PubMed Abstract | Crossref Full Text | Google Scholar

8. Rajendra Y, Sahu S, Subramanian V, Shukla SK. Storage efficient blockchain models for constrained applications. Cluster Comput. (2023) 26(4):2163–81. doi: 10.1007/s10586-022-03804-y

Crossref Full Text | Google Scholar

9. Lin JH, Primicerio K, Squartini T, Decker C, Tessone CJ. Lightning network: a second path towards centralisation of the bitcoin economy. New J Phys. (2020) 22(8):083022. doi: 10.1088/1367-2630/aba062

Crossref Full Text | Google Scholar

10. Sguanci C, Spatafora R, Vergani A. Layer 2 blockchain scaling: a survey. arXiv. (2021):abs/2107.10881. doi: 10.48550/arXiv.2107.10881

Crossref Full Text | Google Scholar

11. Subramanian G, Thampy AS. Implementation of blockchain consortium to prioritize diabetes patients’ healthcare in pandemic situations. IEEE Access. (2021) 9:162459–75. doi: 10.1109/ACCESS.2021.3132302

Crossref Full Text | Google Scholar

12. Roughgarden T. Transaction fee mechanism design for the ethereum blockchain: an economic analysis of EIP-1559. arXiv. (2020):abs/2012.00854. doi: 10.48550/arXiv.2012.00854

Crossref Full Text | Google Scholar

13. Thibault LT, Sarry T, Hafid AS. Blockchain scaling using rollups: a comprehensive survey. IEEE Access. (2022) 10:93039–54. doi: 10.1109/ACCESS.2022.3200051

Crossref Full Text | Google Scholar

14. Sober M, Scaffino G, Spanring C, Schulte S. A voting-based blockchain interoperability oracle. In: 2021 IEEE International Conference on Blockchain (Blockchain). IEEE (2021). pp. 160–9. doi: 10.1109/Blockchain53845.2021.00030

15. Mühlberger R, Bachhofner S, Castelló Ferrer E, Di Ciccio C, Weber I, Wöhrer M, et al. Foundational oracle patterns: connecting blockchain to the off-chain world. Business Process Management: Blockchain and Robotic Process Automation Forum: BPM 2020 Blockchain and RPA Forum, Seville, Spain; September 13–18, 2020, Proceedings 18. Springer International Publishing (2020). p. 35–51. doi: 10.1007/978-3-030-58779-6

Keywords: healthcare information system (HIS), blockchain, data integrity, traceability, revolution

Citation: Wu D and Wang Y (2024) Revolutionizing healthcare information systems with blockchain. Front. Digit. Health 5:1329196. doi: 10.3389/fdgth.2023.1329196

Received: 9 November 2023; Accepted: 28 December 2023;
Published: 11 January 2024.

Edited by:

Daniel B. Hier, Missouri University of Science and Technology, United States

Reviewed by:

Frank P.-W. Lo, Imperial College London, United Kingdom

© 2024 Wu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Dongfang Wu dongfang.wu@duke.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.