Evidence map›Paper›PMID 31337080›Full record

ReviewJournal of personalized medicine2019

Blockchains for Secure Digitized Medicine.

Khaled Shuaib, Heba Saleous, Karim Shuaib, Nazar Zaki

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Applications of Blockchain in the Medical Field: Narrative Review.Journal of medical Internet research · 2021
    Pooled it
  2. Blockchain Personal Health Records: Systematic Review.Journal of medical Internet research · 2021
    Pooled it
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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

4 authors.

Khaled ShuaibCollege of Information Technology, United Arab Emirates University, Sheikh Khalifa Bin Zayed Street, P.O. Box 15551, Al Ain, UAE. k.shuaib@uaeu.ac.ae.
Heba SaleousCollege of Information Technology, United Arab Emirates University, Sheikh Khalifa Bin Zayed Street, P.O. Box 15551, Al Ain, UAE.
Karim ShuaibRenaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA.
Nazar ZakiCollege of Information Technology, United Arab Emirates University, Sheikh Khalifa Bin Zayed Street, P.O. Box 15551, Al Ain, UAE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blockchain as an emerging technology has been gaining in popularity, with more possible applications to utilize the technology in the near future. With the offer of a decentralized, distributed environment without the need for a third trusted party (TTP), blockchains are being used to solve issues in systems that are susceptible to cyberattacks. One possible field that could benefit from blockchains that researchers have been focusing on is healthcare. Current healthcare information systems face several challenges, such as fragmented patient data, centralized systems which are viewed as single points of attacks, and the lack of patient-oriented services. In this paper, we investigate and analyze recent literature related to the use of blockchains to tackle issues found in modern healthcare information systems. This is done to understand issues that researchers commonly focus on, to discover remaining areas of concern in any proposed solution, and to understand the possible directions of the integration of blockchains in healthcare and personalized medicine. Background information regarding blockchains and existing healthcare information systems is reviewed, followed by the methodology used in the preparation of this review, where the research questions to consider are stated. Afterwards, an analysis of the results is provided, concluding with a discussion of the remaining issues that need to be focused on, and how blockchains could benefit the healthcare sector and empower personalized medicine.

Indexed as

blockchainselectronic medical recordshealthcarepersonalized medicineprivacysecurity

Identifiers

PMID31337080
PMCPMC6789651

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.