Evidence map›Paper›PMID 32235389›Full record

ArticleSensors (Basel, Switzerland)2020

Privacy-Preserving in Healthcare Blockchain Systems Based on Lightweight Message Sharing.

Junsong Fu, Na Wang, Yuanyuan Cai

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. The Recent Progress and Applications of Digital Technologies in Healthcare: A Review.International journal of telemedicine and applications · 2020
    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

3 authors.

Junsong FuSchool of Cyberspace Security and National Engineering Lab for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing 100876, China.ORCID 0000-0002-8687-8820
Na WangSchool of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Yuanyuan CaiNational Engineering Laboratory for Agri-Product Quality Traceability and Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China.

Funding

Beijing Municipal Natural Science Foundation 4204107China Postdoctoral Science Foundation 2019M650020
6 · The paper itself

Abstract

Electronic medical records (EMRs) are extremely important for patients' treatment, doctors' diagnoses, and medical technology development. In recent years, the distributed healthcare blockchain system has been researched for solving the information isolated island problem in centralized healthcare service systems. However, there still exists a series of important problems such as the patients' sensitive information security, cross-institutional data sharing, medical quality, and efficiency. In this paper, we establish a lightweight privacy-preserving mechanism for a healthcare blockchain system. First, we apply an interleaving encoder to encrypt the original EMRs. This can hide the sensitive information of EMRs to protect the patient's privacy security. Second, a ( t , n )-threshold lightweight message sharing scheme is presented. The EMRs are mapped to

Indexed as

PrivacyComputer SecurityConfidentialityDelivery of Health CareElectronic Health RecordsHumansInformation DisseminationText Messagingelectronic medical recordshealthcare blockchain systemlightweight message sharingprivacy-preserving

Identifiers

PMID32235389
PMCPMC7180853

What OpenQuestion holds

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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.