MIStore: a Blockchain-Based Medical Insurance Storage System
Open accessAbstract
Currently, blockchain technology, which is decentralized and may provide tamper-resistance to recorded data, is experiencing exponential growth in industry and research. In this paper, we propose the MIStore, a blockchain-based medical insurance storage system. Due to blockchain's the property of tamper-resistance, MIStore may provide a high-credibility to users. In a basic instance of the system, there are a hospital, patient, insurance company and n servers. Specifically, the hospital performs a (t, n)-threshold MIStore protocol among the n servers. For the protocol, any node of the blockchain may join the protocol to be a server if the node and the hospital wish. Patient's spending data is stored by the hospital in the blockchain and is protected by the n servers. Any t servers may help the insurance company to obtain a sum of a part of the patient's spending data, which servers can perform homomorphic computations on. However, the n servers cannot learn anything from the patient's spending data, which recorded in the blockchain, forever as long as more than n - t servers are honest. Besides, because most of verifications are performed by record-nodes and all related data is stored at the blockchain, thus the insurance company, servers and the hospital only need small memory and CPU. Finally, we deploy the MIStore on the Ethererum blockchain and give the corresponding performance evaluation.
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Prior literature suggested recommendations including extending/replicating frameworks and developing targeted treatment solutions.
“Prior literature has suggested various recommendations for future research, including extending (e.g.Zhou et al., 2018) or replicating current frameworks (e.g.Quaini et al., 2018), and developing targeted treatment solutions (e.g.Mamoshina et al., 2018), to name a few.”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Zhou et al., 2018
The Background section says the authors extend Shamir’s secret sharing in MIStore, but describes work they performed, not a recommendation for future research. The Performance evaluation section suggests that another blockchain or improved code might improve the prototype; it does not specifically recommend extending an existing framework. The other recommendations in the citing sentence are attributed to other sources, not Zhou et al. (LLM, conf=0.76)
Experimental — accuracy not yet measuredPrior studies attended to the need for improvements in data processing.
“Furthermore, prior studies have also attended to the need for improvements in data processing (e.g.Zhou et al., 2018).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Zhou et al., 2018
Prior studies addressed authentic data mobilization, avoidance of data leakage or double spending on storage, and perpetual data preservation.
“For instance, prior studies have addressed issues pertaining to authentic data mobilization (Brogan et al., 2018), avoidance of data leakage (Zhang et al., 2016;Zhou et al., 2018) or double spending on storage (Rahmadika & Rhee, 2019), and perpetual data preservation (H.Li et al., 2018).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Zhou et al., 2018
Scholars have focused on storage and preservation of sensitive data from sources such as medical devices and medical insurance.
“With the increasing inter-institutional adoption of blockchain, scholars have also focused on the issue of storage and preservation of sensitive data (Al Omar et al., 2019) from different sources such as medical devices (Firdaus et al., 2018), and medical insurance (Zhou et al., 2018).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Zhou et al., 2018
Using permissioned consortium blockchain or platforms other than Ethereum may improve current architectures for blockchain in healthcare.
“For example, utilization of permissioned consortium blockchain (Zhang et al., 2018) or platforms other than Ethereum (Zhou et al., 2018;Rahmadika & Rhee, 2018) may improve current architectures being used to deploy blockchain in healthcare ecosystem.”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Zhou et al., 2018
Three papers addressed the sharing of clinical data for use in non-clinical contexts.
“Three papers addressed the sharing of clinical data for use in non-clinical contexts [29,32,47].”
From Blockchain in healthcare and health sciences—A scoping review (2020) · cites this paper as [32]
Five publications addressed the m-health domain and patient-controlled collection, storage and sharing of sensor data.
“Five of the publications addressed the m-health domain and patientcontrolled collection, storage and sharing of sensor data [23,27,35,39,32].”
From Blockchain in healthcare and health sciences—A scoping review (2020) · cites this paper as [32]
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- Authors
- Zhou, L., Wang, L., & Sun, Y.
- Affiliations
- Beijing University of Posts and Telecommunications (CN)
- Corresponding author
- Wang, Licheng
- Venue
- Journal of Medical Systems
- Published
- 2018-07-02
- Volume
- 42
- Issue
- 8
- Pages
- 149-149
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- PMC
- PMC6028902
- OpenAlex
- W2810711254
- Cited by
- 217
- References
- 23
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 25 · 2023: 36 · 2022: 48 · 2021: 43 · 2020: 18 · 2019: 21 · 2018: 3
- FWCI
- 34.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Medical Systems (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (61502048)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Keywords
- blockchain, health insurance, data storage, threshold secret sharing, privacy preservation, tamper resistance, Ethereum, secure multi-party computation
- MeSH terms
- Humans, Insurance, Health, Research, Technology, Information Storage and Retrieval, Computer Security
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