Evidence map›Paper›PMID 30735146›Full record

ArticleJMIR research protocols2019

Blockchain Implementation in Health Care: Protocol for a Systematic Review.

Edward Meinert, Abrar Alturkistani, Kimberley A Foley, Tasnime Osama, Josip Car, Azeem Majeed, Michelle Van Velthoven, Glenn Wells, David Brindley

Abstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Blockchain in Health Information Systems: A Systematic Review.International journal of environmental research and public health · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Review
  7. Review
  8. Article
  9. Mobile time banking on blockchain system development for community elderly care.Journal of ambient intelligence and humanized computing · 2022
    Article
  10. Article
  11. Article
  12. Blockchains for Secure Digitized Medicine.Journal of personalized medicine · 2019
    Review
  13. Review
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

9 authors.

Edward MeinertGlobal Digital Health Unit, Department of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-2484-3347
Abrar AlturkistaniGlobal Digital Health Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-7935-8870
Kimberley A FoleyGlobal Digital Health Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-3664-8100
Tasnime OsamaGlobal Digital Health Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-7349-8944
Josip CarGlobal Digital Health Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-8969-371X
Azeem MajeedDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-2357-9858
Michelle Van VelthovenHealthcare Translation Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0003-1245-8759
Glenn WellsOxford Academic Health Science Centre, Oxford, United Kingdom.ORCID http://orcid.org/0000-0003-3373-584X
David BrindleyHealthcare Translation Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-5166-8583

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA blockchain is a digitized, decentralized, distributed public ledger that acts as a shared and synchronized database that records cryptocurrency transactions. Despite the shift toward digital platforms enabled by electronic medical records, demonstrating a will to reform the health care sector, health systems face issues including security, interoperability, data fragmentation, timely access to patient data, and silos. The application of health care blockchains could enable data interoperability, enhancement of precision medicine, and reduction in prescription frauds through implementing novel methods in access and patient consent.

objectiveTo summarize the evidence on the strategies and frameworks utilized to implement blockchains for patient data in health care to ensure privacy and improve interoperability and scalability. It is anticipated this review will assist in the development of recommendations that will assist key stakeholders in health care blockchain implementation, and we predict that the evidence generated will challenge the health care status quo, moving away from more traditional approaches and facilitating decision making of patients, health care providers, and researchers.

methodsA systematic search of MEDLINE/PubMed, Embase, Scopus, ProQuest Technology Collection and Engineering Index will be conducted. Two experienced independent reviewers will conduct titles and abstract screening followed by full-text reading to determine study eligibility. Data will then be extracted onto data extraction forms before using the Cochrane Collaboration Risk of Bias Tool to appraise the quality of included randomized studies and the Risk of Bias in nonrandomized studies of Interventions to assess the quality of nonrandomized studies. Data will then be analyzed and synthesized.

resultsDatabase searches will be initiated in September 2018. We expect to complete the review in January 2019.

conclusionsThis review will summarize the strategies and frameworks used to implement blockchains in health care to increase data privacy, interoperability, and scalability. This review will also help clarify if the strategies and frameworks required for the operationalization of blockchains in health care ensure the privacy of patient data while enabling efficiency, interoperability, and scalability. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/10994.

Indexed as

blockchaincomputersefficiencyelectronic health recordshealthinformation scienceinteroperability

Identifiers

PMID30735146
PMCPMC6384534

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.