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Cited by 248

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

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

Open access
Kamel Boulos, Maged N., Wilson, James T., Clauson, Kevin A.·2018·International Journal of Health Geographics

Abstract

A PubMed query run in June 2018 using the keyword 'blockchain' retrieved 40 indexed papers, a reflection of the growing interest in blockchain among the medical and healthcare research and practice communities. Blockchain's foundations of decentralisation, cryptographic security and immutability make it a strong contender in reshaping the healthcare landscape worldwide. Blockchain solutions are currently being explored for: (1) securing patient and provider identities; (2) managing pharmaceutical and medical device supply chains; (3) clinical research and data monetisation; (4) medical fraud detection; (5) public health surveillance; (6) enabling truly public and open geo-tagged data; (7) powering many Internet of Things-connected autonomous devices, wearables, drones and vehicles, via the distributed peer-to-peer apps they run, to deliver the full vision of smart healthy cities and regions; and (8) blockchain-enabled augmented reality in crisis mapping and recovery scenarios, including mechanisms for validating, crediting and rewarding crowdsourced geo-tagged data, among other emerging use cases. Geospatially-enabled blockchain solutions exist today that use a crypto-spatial coordinate system to add an immutable spatial context that regular blockchains lack. These geospatial blockchains do not just record an entry's specific time, but also require and validate its associated proof of location, allowing accurate spatiotemporal mapping of physical world events. Blockchain and distributed ledger technology face similar challenges as any other technology threatening to disintermediate legacy processes and commercial interests, namely the challenges of blockchain interoperability, security and privacy, as well as the need to find suitable and sustainable business models of implementation. Nevertheless, we expect blockchain technologies to get increasingly powerful and robust, as they become coupled with artificial intelligence (AI) in various real-word healthcare solutions involving AI-mediated data exchange on blockchains.

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Metadata

Authors
Kamel Boulos, M. N., Wilson, J. T., & Clauson, K. A.
Venue
International Journal of Health Geographics
Published
2018-07-05
Volume
17
Issue
1
Pages
25-25
ISSN
1476-072X (ISSN-L)
OpenAlex
W2810536286
Cited by
248
References
2
FWCI
46.20
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Geospatial blockchain: promises, challenges, and scenarios in health and healthcare. https://app.cochat.ai/papers/10.1186/s12942-018-0144-x
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Kamel Boulos, M. N., Wilson, J. T., & Clauson, K. A. (2018). Geospatial blockchain: promises, challenges, and scenarios in health and healthcare. International Journal of Health Geographics. https://doi.org/10.1186/s12942-018-0144-x

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.