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Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics
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 duri...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655069/ https://www.ncbi.nlm.nih.gov/pubmed/36366280 http://dx.doi.org/10.3390/s22218582 |
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author | Farooq, Muhammad Shoaib Suhail, Maryam Qureshi, Junaid Nasir Rustam, Furqan de la Torre Díez, Isabel Mazón, Juan Luis Vidal Rodríguez, Carmen Lili Ashraf, Imran |
author_facet | Farooq, Muhammad Shoaib Suhail, Maryam Qureshi, Junaid Nasir Rustam, Furqan de la Torre Díez, Isabel Mazón, Juan Luis Vidal Rodríguez, Carmen Lili Ashraf, Imran |
author_sort | Farooq, Muhammad Shoaib |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9655069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96550692022-11-15 Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics Farooq, Muhammad Shoaib Suhail, Maryam Qureshi, Junaid Nasir Rustam, Furqan de la Torre Díez, Isabel Mazón, Juan Luis Vidal Rodríguez, Carmen Lili Ashraf, Imran Sensors (Basel) Article 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. MDPI 2022-11-07 /pmc/articles/PMC9655069/ /pubmed/36366280 http://dx.doi.org/10.3390/s22218582 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Farooq, Muhammad Shoaib Suhail, Maryam Qureshi, Junaid Nasir Rustam, Furqan de la Torre Díez, Isabel Mazón, Juan Luis Vidal Rodríguez, Carmen Lili Ashraf, Imran Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics |
title | Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics |
title_full | Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics |
title_fullStr | Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics |
title_full_unstemmed | Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics |
title_short | Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics |
title_sort | consortium framework using blockchain for asthma healthcare in pandemics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655069/ https://www.ncbi.nlm.nih.gov/pubmed/36366280 http://dx.doi.org/10.3390/s22218582 |
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