Geospatial blockchain: promises, challenges, and scenarios in health and healthcare

Boulos, Maged N. Kamel; Wilson, James T.; Clauson, Kevin A.

doi:10.1186/s12942-018-0144-x

Cited by 192 publications

(96 citation statements)

References 19 publications

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“…Blockchain also suffers from the issue of interoperability [46]; that is, making blockchains from various communicating providers and services talk to one another seamlessly and appropriately. This challenge creates hindrances in the effective sharing of data [55].…”

Section: Interoperability Issuesmentioning

confidence: 99%

Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectives

et al. 2019

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Blockchain technology has gained considerable attention, with an escalating interest in a plethora of numerous applications, ranging from data management, financial services, cyber security, IoT, and food science to healthcare industry and brain research. There has been a remarkable interest witnessed in utilizing applications of blockchain for the delivery of safe and secure healthcare data management. Also, blockchain is reforming the traditional healthcare practices to a more reliable means, in terms of effective diagnosis and treatment through safe and secure data sharing. In the future, blockchain could be a technology that may potentially help in personalized, authentic, and secure healthcare by merging the entire real-time clinical data of a patient’s health and presenting it in an up-to-date secure healthcare setup. In this paper, we review both the existing and latest developments in the field of healthcare by implementing blockchain as a model. We also discuss the applications of blockchain, along with the challenges faced and future perspectives.

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Section: Interoperability Issuesmentioning

confidence: 99%

Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectives

et al. 2019

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“…Currently, there is considerable optimism that blockchain technology will revolutionize the healthcare industry [19], and there are review articles that thoroughly describe the advantages and challenges of using blockchain technologies in the biomedical domain ([20,21]). Major advantages include [20] the ability to support (a) decentralized data management (e.g.…”

Section: Background and Related Workmentioning

confidence: 99%

A Blockchain-Based Notarization Service for Biomedical Knowledge Retrieval

Kleinaki

Mytis-Gkometh

Drosatos

et al. 2018

Computational and Structural Biotechnology Journal

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Biomedical research and clinical decision depend increasingly on scientific evidence realized by a number of authoritative databases, mostly public and continually enriched via peer scientific contributions. Given the dynamic nature of biomedical evidence data and their usage in the sensitive domain of biomedical science, it is important to ensure retrieved data integrity and non-repudiation. In this work, we present a blockchain-based notarization service that uses smart digital contracts to seal a biomedical database query and the respective results. The goal is to ensure that retrieved data cannot be modified after retrieval and that the database cannot validly deny that the particular data has been provided as a result of a specific query. Biomedical evidence data versioning is also supported. The feasibility of the proposed notarization approach is demonstrated using a real blockchain infrastructure and is tested on two different biomedical evidence databases: a publicly available medical risk factor reference repository and on the PubMed database of biomedical literature references and abstracts.

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“…This method uses blockchain technology to capture and log user query records and data server response records to enable effective post-event verification and accountability. Boulos et al [29] discussed the application of blockchain technology in geospatial tagging data. They pointed out that the immutability of blockchain technology allows for the system to accurately construct real-world geographic events through proof of location, and a blockchain-style crowdsourced geographic information platform allows for the nodes to have full control over their own data, thus reducing the cost of data acquisition.…”

Section: Introductionmentioning

confidence: 99%

A Decentralized Model for Spatial Data Digital Rights Management

Zhang

Tang

Jing

et al. 2020

IJGI

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The copyright of data is a key point that needs to be solved in spatial data infrastructure for data sharing. In this paper, we propose a decentralized digital rights management model of spatial data, which can provide a novel way of solving the existing copyright management problem or other problems in spatial data infrastructure for data sharing. An Ethereum smart contract is used in this model to realize spatial data digital rights management function. The InterPlanetary File System is utilized as external data storage for storing spatial data in the decentralized file system to avoid data destruction that is caused by a single point of failure. There is no central server in the model architecture, which has a completely decentralized nature and it makes spatial data rights management not dependent on third-party trust institutions. We designed three spatial data copyright management algorithms, developed a prototype system to implement and test the model, used the smart contract security verification tool to check code vulnerabilities, and, finally, discussed the usability, scalability, efficiency, performance, and security of the proposed model. The result indicates that the proposed model not only has diversified functions of copyright management compared with previous studies on the blockchain-based digital rights management, but it can also solve the existing problems in traditional spatial data infrastructure for data sharing due to its characteristics of complete decentralization, mass orientation, immediacy, and high security.Research are examples of such platforms. Digital rights management (DRM) refers to the techniques that are used by publishers to control the rights of protected objects [4]. Subsequently, the process of publishing spatial science data can be described as applying digital rights management to data sharing to solve the copyright problem of spatial science data. Since existing scientific data publishing schemes all use traditional digital rights management technology, these schemes have both their own shortcomings and shortcomings in traditional digital rights management technology, mainly including:(1) They are aimed at scientific data produced in scientific research papers, and non-scientists are basically unable to participate, which limits the scope of data sharing; (2) The application process is cumbersome in traditional digital rights management, the copyright registration takes a long time, and the review process is expensive. Moreover, the publication of the paper needs periodic review in spatial data publishing schemes, which increases the time cost of data sharing; (3) At present, most of the scientific data publishing systems are centralized, thus, if the server in the system fails, it will cause temporary or permanent inability to access services and data, which will cause immeasurable losses to both publishers and users; and, (4) The centralized digital rights management system has the risk of illegal tampering with copyright registration information that is caused by in...

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Geospatial blockchain: promises, challenges, and scenarios in health and healthcare

Cited by 192 publications

References 19 publications

Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectives

Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectives

A Blockchain-Based Notarization Service for Biomedical Knowledge Retrieval

A Decentralized Model for Spatial Data Digital Rights Management

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