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Cited by 274Blockchain Technology Applications and SecurityElectronic Health Records SystemsBlockchain Technology in Education and Learning

A proposed solution and future direction for blockchain-based heterogeneous medicare data in cloud environment

Open access
Kaur, Harleen, Alam, M. Afshar, Jameel, Roshan, Mourya, Ashish Kumar, Chang, Victor·2018·Journal of Medical Systems
DOI 10.1007/s10916-018-1007-5
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Abstract

The healthcare data is an important asset and rich source of healthcare intellect. Medical databases, if created properly, will be large, complex, heterogeneous and time varying. The main challenge nowadays is to store and process this data efficiently so that it can benefit humans. Heterogeneity in the healthcare sector in the form of medical data is also considered to be one of the biggest challenges for researchers. Sometimes, this data is referred to as large-scale data or big data. Blockchain technology and the Cloud environment have proved their usability separately. Though these two technologies can be combined to enhance the exciting applications in healthcare industry. Blockchain is a highly secure and decentralized networking platform of multiple computers called nodes. It is changing the way medical information is being stored and shared. It makes the work easier, keeps an eye on the security and accuracy of the data and also reduces the cost of maintenance. A Blockchain-based platform is proposed that can be used for storing and managing electronic medical records in a Cloud environment.

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  • Research in blockchain in healthcare has been largely directed at promoting the development of concepts that assist scholars in deriving multidomain and feasible applications for blockchain in healthcare.

    “The results of the review indicate that research in the domain of blockchain in healthcare has been largely directed at promoting the development of concepts that assist scholars in deriving multidomain (Kaur et al., 2018) and feasible applications for blockchain in healthcare.”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Kaur et al., 2018

  • Framework scalability and performance efficiency may be affected by continual upgrade requirements, computational load of sensor data, keyword set size, disk space, and network setup of blockchain type.

    “The scalability and performance efficiency of a framework may also be affected by issues such as requirements for continual upgrades by the utilized system (Kaur et al., 2018), the computational load of sensor data (Zhang et al., 2016), keyword set size (A. Zhang & Lin, 2018), the amount of disk space, and the network set-up required by the type of blockchain, e.g.Ethereum, used in the model (Qua”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Kaur et al., 2018

  • The limitation of Ref. [89] is that comparisons have not been made between smart contract-based schemes and traditional schemes, and the model was not implemented to analyze performances.

    “The limitation of the work is that comparisons have not been made between smart contract-based schemes and traditional schemes, and the model was not implemented to analyze performances.”

    From A survey on the adoption of blockchain in IoT: challenges and solutions (2021) · cites this paper as [89]

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1 of the 39 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. [5][5] Eyal, I.; Emin, G.S. Majority is not enough: Bitcoin mining is vulnerable. In Proceedings of the International Conference on Financial Cryptography and Data Security, Christ Church, Barbados, 3-7 March 2014; Springer: Berlin/Heidelberg, Germany, 2014.
  2. [14][14] Padhy, R. P., Patra, M. R., & Satapathy, S. C. (2012). Design and implementation of a cloud based rural healthcare information system model. Univers J Appl Comput Sci Technol, 2(1), 149-157.
  3. [46][46] Kaur, H., Chauhan, R., Alam, M.: Spatial Clustering Algorithm using R-tree. Journal of Computing 3(2), 85-90 (2011)

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Authors
Kaur, H., Alam, M. A., Jameel, R., Mourya, A. K., & Chang, V.
Affiliations
  • Jamia Hamdard (IN)
  • Xi’an Jiaotong-Liverpool University (CN)
Corresponding author
Mourya, Ashish Kumar
ORCID
Venue
Journal of Medical Systems
Publisher
Springer Science and Business Media LLC
Published
2018-07-10
Volume
42
Issue
8
Pages
156-156
ISSN
  • 0148-5598 (ISSN-L)
  • 1573-689X
DOI
10.1007/s10916-018-1007-5
OpenAlex
W2878975049
Cited by
274
References
39
Citations by year
2026: 8 · 2025: 28 · 2024: 22 · 2023: 35 · 2022: 38 · 2021: 62 · 2020: 55 · 2019: 24 · 2018: 2
FWCI
57.69
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Medical Systems (publishedVersion)
  • PubMed (publishedVersion)
  • TeesRep (Teesside University) (publishedVersion, cc-by-nc-nd)
  • Teesside University Research Portal (Teesside University) (acceptedVersion, cc-by-nc-nd)
Funders
National Council for Science and Technology Communications (NCSTC), Department of Science and Technology (DST), Ministry of Science and Technology (Govt. of India), New Delhi, India (5753/ IFD/ 2015-16)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
blockchain, cloud computing, electronic health records, big data, data security, decentralized storage, health data management, Medicare data
MeSH terms
Cloud Computing, Delivery of Health Care, Medicare, Humans, United States, Databases, Factual, Electronic Health Records

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