Evidence map›Paper›PMID 38438526›Full record

ArticleScientific reports2024

Internet of medical things and blockchain-enabled patient-centric agent through SDN for remote patient monitoring in 5G network.

Anichur Rahman, Md Anwar Hussen Wadud, Md Jahidul Islam, Dipanjali Kundu, T M Amir-Ul-Haque Bhuiyan, Ghulam Muhammad, Zulfiqar Ali

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
46.0field-weighted citation impact, top 1% 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

7 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

7 authors at 6 institutions in 3 countries.

Anichur RahmanDepartment of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh. anis_cse@niter.edu.bd.
Md Anwar Hussen WadudInstitute of Information and Communication Technology, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Md Jahidul IslamDepartment of Computer Science and Engineering, Green University, Dhaka, Bangladesh.
Dipanjali KunduDepartment of Computer Science and Engineering, Constituent Institute of Dhaka University, National Institute of Textile Engineering and Research (NITER), Savar, Dhaka, 1350, Bangladesh.
T M Amir-Ul-Haque BhuiyanInstitute of Information and Communication Technology, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Ghulam MuhammadDepartment of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia. ghulam@ksu.edu.sa.ORCID 0000-0002-9781-3969
Zulfiqar AliSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, UK.
Bangladesh University of Engineering and Technology · BDGreen University of Bangladesh · BDKing Saud University · SAMawlana Bhashani Science and Technology University · BDUniversity of Dhaka · BDUniversity of Essex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, there has been a significant increase in the use of internet resources for accessing medical care, resulting in the development and advancement of the Internet of Medical Things (IoMT). This technology utilizes a range of medical equipment and testing software to broadcast patient results over the internet, hence enabling the provision of remote healthcare services. Nevertheless, the preservation of privacy and security in the realm of online communication continues to provide a significant and pressing obstacle. Blockchain technology has shown the potential to mitigate security apprehensions across several sectors, such as the healthcare industry. Recent advancements in research have included intelligent agents in patient monitoring systems by integrating blockchain technology. However, the conventional network configuration of the agent and blockchain introduces a level of complexity. In order to address this disparity, we present a proposed architectural framework that combines software defined networking (SDN) with Blockchain technology. This framework is specially tailored for the purpose of facilitating remote patient monitoring systems within the context of a 5G environment. The architectural design contains a patient-centric agent (PCA) inside the SDN control plane for the purpose of managing user data on behalf of the patients. The appropriate handling of patient data is ensured by the PCA via the provision of essential instructions to the forwarding devices. The suggested model is assessed using hyperledger fabric on docker-engine, and its performance is compared to that of current models in fifth generation (5G) networks. The performance of our suggested model surpasses current methodologies, as shown by our extensive study including factors such as throughput, dependability, communication overhead, and packet error rate.

Indexed as

BlockchainHumansInternetMonitoring, PhysiologicPandemicsPatient-Centered CareSoftwareBlockchainHealthcare managementInternet of medical thingsInternet of thingsPatient centric agentPatient monitoringRemote patient monitoringSoftware defined networking

Identifiers

PMID38438526
PMCPMC10912771
OpenAlexW4392369738

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.