SYSTEMATIC REVIEW article
Front. Blockchain
Sec. Blockchain in Industry
Volume 8 - 2025 | doi: 10.3389/fbloc.2025.1699290
This article is part of the Research TopicIndustrial Transformation through Blockchain: From Smart Manufacturing to Secure HealthcareView all 3 articles
BLOCKCHAIN APPLICATIONS IN HEALTH INSURANCE: A REVIEW OF APPLICATIONS, CHALLENGES, AND PROSPECTS
Provisionally accepted
- 1Georgia Institute of Technology, Atlanta, United States
- 2Harvard University, Cambridge, United States
- 3The University of Texas at San Antonio, San Antonio, United States
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
This systematic review comprehensively examines the application of blockchain in health insurance, highlighting the current state of research, inherent challenges, and future trends. Blockchains have demonstrated excellent potential in health insurance, especially in fraud prevention, claims processing, and data security. Moreover, this study also aims to identify several critical challenges that hinder their broader adoption and effectiveness, including data heterogeneity, individual task requirements, scalability and regulatory alignment. Through comprehensive analysis, this study discusses some actionable solutions and strategies. Conclusively, this review underscores blockchain's transformative impact on building a secure, efficient, and patient-centric health insurance system.
Keywords: Blockchain, health insurance, Fraud detection, Claims processing, data security, Automation, interoperability, Smart contracts
Received: 04 Sep 2025; Accepted: 12 Sep 2025.
Copyright: © 2025 Chen, Zhao and Gao. 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) or licensor 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: Yisong Chen, yisongchen97@gmail.com
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.