Cited by 412Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningElectronic Health Records Systems

MedChain: efficient healthcare data sharing via Blockchain

Open access
Shen, Bingqing, Guo, Jingzhi, Yang, Yilong·2019·Applied Sciences

Abstract

Healthcare information exchange is an important research topic, which can benefit both healthcare providers and patients. In healthcare data sharing, many cloud-based solutions have been proposed, but the trustworthiness of a third-party cloud service is questionable. Recently, blockchain has been introduced in healthcare record sharing, which does not rely on trusting a third party. However, existing approaches only focus on the records collected from medical examination. They are not efficient in sharing data streams continuously generated from sensors and other monitoring devices. Today, IoT devices have been widely deployed and sensors and mobile applications can monitor patients’ body conditions. The collected data are shared to laboratories and institutions for diagnosis and further study. Moreover, existing approaches are too rigid to efficiently support metadata change. In this paper, an efficient data-sharing scheme is proposed, called MedChain, which combines blockchain, digest chain, and structured P2P network techniques to overcome the above efficiency issues in the existing approaches for sharing both types of healthcare data. Based on MedChain, a session-based healthcare data-sharing scheme is devised, which brings flexibility in data sharing. The evaluation results show that MedChain can achieve higher efficiency and satisfy the security requirements in data sharing.

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Crossref · 10.3390/app9061207

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6 of 6 references verified0 citation errors · 0 not checkable

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  • Blockchain may assist in creating a viable information ecosystem for managing personal health records by incorporating heterogeneous forms of data, including medical big data.

    “Further, blockchain may assist in creating a viable information ecosystem for managing such PHRs (Mamoshina et al., 2018) by incorporating heterogeneous forms of data (Yue et al., 2016;Shen et al., 2019;Silva et al., 2019), including medical big data (Kaur et al., 2018).”
  • Significant attention has been paid in the reviewed literature to maintaining data integrity.

    “However, significant attention has been paid to the need to maintain data integrity (Hyla & Pejaś, 2019;Tian et al., 2019;Shen et al., 2019).”
  • A few studies directed attention to facilitating cross-institutional data sharing and improving efficiency and flexibility of data sharing.

    “A few studies have also directed attention to the facilitation of crossinstitutional data sharing (Al Omar et al., 2019), and improvements in efficiency as well as flexibility of data sharing (Shen et al., 2019).”
  • Manual approvals by users for data movement may impact framework performance efficiency.

    “The design of the framework and authorizations for data movement may also be contingent on manual approvals by users, which may impact the efficiency of the framework's performance (Shen et al., 2019).”
  • Extant research indicates costs including linear increase in protocol costs based on entity characteristics, increased operational overhead and access latency, and transaction/execution costs based on string length and size.

    “Additionally, other costs indicated as constraints and limitations in the extant research include the linear increase in protocol costs contingent upon the characteristics and attributes of the involved entities, such as patients (Guo et al., 2018), increased operational overhead (for the patient) and access latency (for the requester) (Shen et al., 2019), and the transaction and execution costs”

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Authors
Shen, B., Guo, J., & Yang, Y.
Affiliations
University of Macau (MO)
Corresponding author
Guo, Jingzhi
Venue
Applied Sciences
Publisher
MDPI AG
Published
2019-03-22
Volume
9
Issue
6
Pages
1207
ISSN
2076-3417 (ISSN-L)
OpenAlex
W3046129398
Cited by
412
References
6
Citations by year
2026: 18 · 2025: 49 · 2024: 59 · 2023: 90 · 2022: 87 · 2021: 58 · 2020: 41 · 2019: 8 · 2018: 2
FWCI
60.40
Type
journal article
Language
en
Open access
Locations
  • Applied Sciences (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Universidade de Macau (MYRG2017-00091-FST)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Keywords
health data sharing, blockchain, peer-to-peer networks, IoT health monitoring, continuous data streams, medical records, data security

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