Evidence map›Paper›PMID 29961160›Full record

ArticleJournal of medical systems2018

BMPLS: Blockchain-Based Multi-level Privacy-Preserving Location Sharing Scheme for Telecare Medical Information Systems.

Yaxian Ji, Junwei Zhang, Jianfeng Ma, Chao Yang, Xin Yao

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Review
  8. Article
  9. Enabling Value Co-Creation in Healthcare through Blockchain Technology.International journal of environmental research and public health · 2022
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  10. The Recent Advances of Mobile Healthcare in Cardiology Practice.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. A Blockchain-Enabled Framework for mHealth Systems.Sensors (Basel, Switzerland) · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Blockchain Technology in Healthcare: A Systematic Review.Healthcare (Basel, Switzerland) · 2019
    Review
  19. Blockchain in Healthcare: A Patient-Centered Model.Biomedical journal of scientific & technical research · 2019
    Article
  20. Blockchain Applications in the Biomedical Domain: A Scoping Review.Computational and structural biotechnology journal · 2019
    Article
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.

Yaxian JiSchool of Cyber Engineering, Xidian University, Xi'an, 710071, China.
Junwei ZhangSchool of Cyber Engineering, Xidian University, Xi'an, 710071, China. jwzhang@xidian.edu.cn.ORCID http://orcid.org/0000-0002-1213-6031
Jianfeng MaSchool of Cyber Engineering, Xidian University, Xi'an, 710071, China.
Chao YangSchool of Cyber Engineering, Xidian University, Xi'an, 710071, China.
Xin YaoSchool of Software, Central South University, Changsha, 410075, China.

Funding

National Natural Science Foundation of China 61472310
6 · The paper itself

Abstract

The sharing of patients' locations is an important part in mobile medical services and modern smart healthcare. Although location sharing based on blockchains has advantages on decentralization and openness, there is also a challenge to guarantee the security and the privacy of locations recorded in a blockchain. To this end, this paper investigates the location sharing based on blockchains for telecare medical information systems. Firstly, we define the basic requirements of blockchain-based location sharing including decentralization, unforgeability, confidentiality, multi-level privacy protection, retrievability and verifiability. Then, using order-preserving encryption and merkle tree, we propose a blockchain-based multi-level location sharing scheme, i.e. BMPLS. The analysis results show that our scheme satisfies the above requirements. Finally, the performance of our scheme is evaluated and the experiment results show that our scheme is efficient and feasible for both patients and medical workers. In a word, our scheme can be applied to realize privacy-preserving location sharing based on blockchains for telecare medical information systems.

Indexed as

Computer SecurityInformation SystemsPrivacyTelemedicineConfidentialityHumansBlockchainLocation sharingMerkle treeMulti-level privacy preservingOrder-preserving encryption

Identifiers

What OpenQuestion holds

Textmetadata
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.