Evidence map›Paper›PMID 30108685›Full record

ArticleComputational and structural biotechnology journal2018

FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data.

Peng Zhang, Jules White, Douglas C Schmidt, Gunther Lenz, S Trent Rosenbloom

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

96 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Blockchain in Health Information Systems: A Systematic Review.International journal of environmental research and public health · 2024
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  9. Comparison of blockchain platforms: a systematic review and healthcare examples.Journal of the American Medical Informatics Association : JAMIA · 2019
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36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Peng ZhangDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Jules WhiteDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Douglas C SchmidtDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Gunther LenzVarian Medical Systems, Palo Alto, California, USA.
S Trent RosenbloomDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secure and scalable data sharing is essential for collaborative clinical decision making. Conventional clinical data efforts are often siloed, however, which creates barriers to efficient information exchange and impedes effective treatment decision made for patients. This paper provides four contributions to the study of applying blockchain technology to clinical data sharing in the context of technical requirements defined in the "Shared Nationwide Interoperability Roadmap" from the

Indexed as

BlockchainCancer careClinical data sharingDecentralized appDigital health identityInteroperabilitySmart contracts

Identifiers

PMID30108685
PMCPMC6082774

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.