Evidence map›Paper›PMID 26573649›Full record

ArticleJournal of medical systems2016

A Secure ECC-based RFID Mutual Authentication Protocol to Enhance Patient Medication Safety.

Chunhua Jin, Chunxiang Xu, Xiaojun Zhang, Fagen Li

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. A Comprehensive Survey on Security and Privacy for Electronic Health Data.International journal of environmental research and public health · 2021
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Chunhua JinSchool of Computer Science and Engineering, UESTC, Chengdu, 611731, China. chunhuaking@gmail.com.
Chunxiang XuSchool of Computer Science and Engineering, UESTC, Chengdu, 611731, China.
Xiaojun ZhangSchool of Computer Science and Engineering, UESTC, Chengdu, 611731, China.
Fagen LiSchool of Computer Science and Engineering, UESTC, Chengdu, 611731, China.
University of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient medication safety is an important issue in patient medication systems. In order to prevent medication errors, integrating Radio Frequency Identification (RFID) technology into automated patient medication systems is required in hospitals. Based on RFID technology, such systems can provide medical evidence for patients' prescriptions and medicine doses, etc. Due to the mutual authentication between the medication server and the tag, RFID authentication scheme is the best choice for automated patient medication systems. In this paper, we present a RFID mutual authentication scheme based on elliptic curve cryptography (ECC) to enhance patient medication safety. Our scheme can achieve security requirements and overcome various attacks existing in other schemes. In addition, our scheme has better performance in terms of computational cost and communication overhead. Therefore, the proposed scheme is well suitable for patient medication systems.

Indexed as

AlgorithmsMedication Systems, HospitalPatient SafetyComputer SecurityConfidentialityHumansMedication ErrorsRadio Frequency Identification DeviceElliptic curve cryptographyMutual authenticationPatient medication safetyRadio frequency identification

Identifiers

PMID26573649
OpenAlexW2188182079

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.