Evidence map›Paper›PMID 36366280›Full record

ArticleSensors (Basel, Switzerland)2022

Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics.

Muhammad Shoaib Farooq, Maryam Suhail, Junaid Nasir Qureshi, Furqan Rustam, Isabel de la Torre Díez, Juan Luis Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Blockchain in Critical Care.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Review
  3. Article
  4. 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

8 authors at 7 institutions in 5 countries.

Muhammad Shoaib FarooqDepartment of Computer Science, University of Management and Technology, Lahore 54000, Pakistan.ORCID 0000-0002-4095-8868
Maryam SuhailDepartment of Computer Science, University of Management and Technology, Lahore 54000, Pakistan.
Junaid Nasir QureshiDepartment of Computer Science, Bahria University, Lahore 54600, Pakistan.
Furqan RustamSchool of Computer Science, University College Dublin, D04 V1W8 Dublin, Ireland.ORCID 0000-0001-8403-1047
Isabel de la Torre DíezDepartment of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain.ORCID 0000-0003-3134-7720
Juan Luis Vidal MazónHigher Polytechnic School, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain.ORCID 0000-0002-0982-815X
Carmen Lili RodríguezHigher Polytechnic School, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain.
Imran AshrafDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea.ORCID 0000-0002-8271-6496
University of Management and Technology · PKBahria University · PKIbero American University · MXUniversidad de Valladolid · ESUniversidad Europea del Atlántico · ESUniversity College Dublin · IEYeungnam University · KR

Funding

European University of the Atlantic N/A
6 · The paper itself

Abstract

Asthma is a deadly disease that affects the lungs and air supply of the human body. Coronavirus and its variants also affect the airways of the lungs. Asthma patients approach hospitals mostly in a critical condition and require emergency treatment, which creates a burden on health institutions during pandemics. The similar symptoms of asthma and coronavirus create confusion for health workers during patient handling and treatment of disease. The unavailability of patient history to physicians causes complications in proper diagnostics and treatments. Many asthma patient deaths have been reported especially during pandemics, which necessitates an efficient framework for asthma patients. In this article, we have proposed a blockchain consortium healthcare framework for asthma patients. The proposed framework helps in managing asthma healthcare units, coronavirus patient records and vaccination centers, insurance companies, and government agencies, which are connected through the secure blockchain network. The proposed framework increases data security and scalability as it stores encrypted patient data on the Interplanetary File System (IPFS) and keeps data hash values on the blockchain. The patient data are traceable and accessible to physicians and stakeholders, which helps in accurate diagnostics, timely treatment, and the management of patients. The smart contract ensures the execution of all business rules. The patient profile generation mechanism is also discussed. The experiment results revealed that the proposed framework has better transaction throughput, query delay, and security than existing solutions.

Indexed as

AsthmaBlockchainComputer SecurityDelivery of Health CareHumansPandemicsasthmablockchainconsortium frameworkhealthcare

Identifiers

PMID36366280
PMCPMC9655069
OpenAlexW4308507520

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.