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Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management

Healthcare professionals, patients, and other stakeholders have been storing medical prescriptions and other relevant reports electronically. These reports contain the personal information of the patients, which is sensitive data. Therefore, there exists a need to store these records in a decentrali...

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Detalles Bibliográficos
Autores principales: Chamola, Vinay, Goyal, Adit, Sharma, Pranab, Hassija, Vikas, Binh, Huynh Thi Thanh, Saxena, Vikas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918902/
https://www.ncbi.nlm.nih.gov/pubmed/35310553
http://dx.doi.org/10.1007/s00521-022-07087-7
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author Chamola, Vinay
Goyal, Adit
Sharma, Pranab
Hassija, Vikas
Binh, Huynh Thi Thanh
Saxena, Vikas
author_facet Chamola, Vinay
Goyal, Adit
Sharma, Pranab
Hassija, Vikas
Binh, Huynh Thi Thanh
Saxena, Vikas
author_sort Chamola, Vinay
collection PubMed
description Healthcare professionals, patients, and other stakeholders have been storing medical prescriptions and other relevant reports electronically. These reports contain the personal information of the patients, which is sensitive data. Therefore, there exists a need to store these records in a decentralized model (using IPFS and Ethereum decentralized application) to provide data and identity protection. Many patients recurrently visit doctors and undergo treatments while receiving different prescriptions and reports. In case of an emergency, the doctors and attendants may need and benefit from the patients’ medical history. However, they are unable to go through medical history and a wide range of previous reports and prescriptions due to time constraints. In this paper, we propose an AI-assisted blockchain-based framework in which the stored medical records (handwritten prescriptions, printed prescriptions, and printed reports) are stored and processed using various AI techniques like optical character recognition (OCR) to form a single patient medical history report. The report concisely presents only the crucial information for convenience and perusal and is stored securely over a decentralized blockchain network for later use.
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spelling pubmed-89189022022-03-14 Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management Chamola, Vinay Goyal, Adit Sharma, Pranab Hassija, Vikas Binh, Huynh Thi Thanh Saxena, Vikas Neural Comput Appl S.I. : Neural Computing for IOT based Intelligent Healthcare Systems Healthcare professionals, patients, and other stakeholders have been storing medical prescriptions and other relevant reports electronically. These reports contain the personal information of the patients, which is sensitive data. Therefore, there exists a need to store these records in a decentralized model (using IPFS and Ethereum decentralized application) to provide data and identity protection. Many patients recurrently visit doctors and undergo treatments while receiving different prescriptions and reports. In case of an emergency, the doctors and attendants may need and benefit from the patients’ medical history. However, they are unable to go through medical history and a wide range of previous reports and prescriptions due to time constraints. In this paper, we propose an AI-assisted blockchain-based framework in which the stored medical records (handwritten prescriptions, printed prescriptions, and printed reports) are stored and processed using various AI techniques like optical character recognition (OCR) to form a single patient medical history report. The report concisely presents only the crucial information for convenience and perusal and is stored securely over a decentralized blockchain network for later use. Springer London 2022-03-14 /pmc/articles/PMC8918902/ /pubmed/35310553 http://dx.doi.org/10.1007/s00521-022-07087-7 Text en © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle S.I. : Neural Computing for IOT based Intelligent Healthcare Systems
Chamola, Vinay
Goyal, Adit
Sharma, Pranab
Hassija, Vikas
Binh, Huynh Thi Thanh
Saxena, Vikas
Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management
title Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management
title_full Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management
title_fullStr Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management
title_full_unstemmed Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management
title_short Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management
title_sort artificial intelligence-assisted blockchain-based framework for smart and secure emr management
topic S.I. : Neural Computing for IOT based Intelligent Healthcare Systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918902/
https://www.ncbi.nlm.nih.gov/pubmed/35310553
http://dx.doi.org/10.1007/s00521-022-07087-7
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