Evidence map›Paper›PMID 39517732›Full record

ArticleSensors (Basel, Switzerland)2024

Blockchain Factors in the Design of Smart-Media for E-Healthcare Management.

Dhaneshwar Shah, Sunanda Rani, Khadija Shoukat, Habiba Kalsoom, Muhammad Usman Shoukat, Hamad Almujibah, Shengxiao Liao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Dhaneshwar ShahSchool of Art & Design, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0003-2665-8786
Sunanda RaniSchool of Art & Design, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0003-0468-5118
Khadija ShoukatSchool of Management, Wuhan University of Technology, Wuhan 430062, China.ORCID 0000-0002-7797-962X
Habiba KalsoomDepartment of Zoology, The Government Sadiq College Women University, Bahawalpur 63100, Pakistan.ORCID 0009-0000-3624-1197
Muhammad Usman ShoukatSchool of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0001-8543-8439
Hamad AlmujibahDepartment of Civil Engineering, College of Engineering, Taif University, Taif 21974, Saudi Arabia.ORCID 0000-0003-1676-6222
Shengxiao LiaoThe School of International Education, Wuhan University of Technology, Wuhan 430062, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the current situation of deep aging globally, how to provide low-cost and high-quality medical services has become a problem that the whole society needs to consider. To address these challenges, we propose an e-healthcare management system leveraging the integration of the Internet of Things (IoT) and blockchain technologies. Our system aims to provide comprehensive, reliable, and secure one-stop services for patients. Specifically, we introduce a blockchain-based searchable encryption scheme for decentralized storage and real-time updates of electronic health records (EHRs). This approach ensures secure and efficient data traceability across medical equipment, drug supply chains, patient health monitoring, and medical big data management. By improving information processing capabilities, our system aspires to advance the digital transformation of e-healthcare services.

Indexed as

BlockchainElectronic Health RecordsInternet of ThingsComputer SecurityDelivery of Health CareHumansTelemedicineblockchaindata securitydata sharinge-healthcareelectronic health recordsIoT

Identifiers

PMID39517732
PMCPMC11548431

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.