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Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry
Involvement of multiple stakeholders in healthcare industry, even the simple healthcare problems become complex due to classical approach to treatment. In the Covid-19 era where quick and accurate solutions in healthcare are needed along with quick collaboration of stakeholders such as patients, ins...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072813/ http://dx.doi.org/10.1016/j.technovation.2022.102544 |
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author | Gupta, Shivam Modgil, Sachin Bhatt, Priyanka C. Chiappetta Jabbour, Charbel Jose Kamble, Sachin |
author_facet | Gupta, Shivam Modgil, Sachin Bhatt, Priyanka C. Chiappetta Jabbour, Charbel Jose Kamble, Sachin |
author_sort | Gupta, Shivam |
collection | PubMed |
description | Involvement of multiple stakeholders in healthcare industry, even the simple healthcare problems become complex due to classical approach to treatment. In the Covid-19 era where quick and accurate solutions in healthcare are needed along with quick collaboration of stakeholders such as patients, insurance agents, healthcare providers and medicine supplier etc., a classical computing approach is not enough. Therefore, this study aims to identify the role of quantum computing in disrupting the healthcare sector with the lens of organizational information processing theory (OIPT), creating a more sustainable (less strained) healthcare system. A semi-structured interview approach is adopted to gauge the expectations of professionals from healthcare industry regarding quantum computing. A structured approach of coding, using open, axial and selective approach is adopted to map the themes under quantum computing for healthcare industry. The findings indicate the potential applications of quantum computing for pharmaceutical, hospital, health insurance organizations along with patients to have precise and quick solutions to the problems, where greater accuracy and speed can be achieved. Existing research focuses on the technological background of quantum computing, whereas this study makes an effort to mark the beginning of quantum computing research with respect to organizational management theory. |
format | Online Article Text |
id | pubmed-9072813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90728132022-05-06 Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry Gupta, Shivam Modgil, Sachin Bhatt, Priyanka C. Chiappetta Jabbour, Charbel Jose Kamble, Sachin Technovation Article Involvement of multiple stakeholders in healthcare industry, even the simple healthcare problems become complex due to classical approach to treatment. In the Covid-19 era where quick and accurate solutions in healthcare are needed along with quick collaboration of stakeholders such as patients, insurance agents, healthcare providers and medicine supplier etc., a classical computing approach is not enough. Therefore, this study aims to identify the role of quantum computing in disrupting the healthcare sector with the lens of organizational information processing theory (OIPT), creating a more sustainable (less strained) healthcare system. A semi-structured interview approach is adopted to gauge the expectations of professionals from healthcare industry regarding quantum computing. A structured approach of coding, using open, axial and selective approach is adopted to map the themes under quantum computing for healthcare industry. The findings indicate the potential applications of quantum computing for pharmaceutical, hospital, health insurance organizations along with patients to have precise and quick solutions to the problems, where greater accuracy and speed can be achieved. Existing research focuses on the technological background of quantum computing, whereas this study makes an effort to mark the beginning of quantum computing research with respect to organizational management theory. Published by Elsevier Ltd. 2023-02 2022-05-06 /pmc/articles/PMC9072813/ http://dx.doi.org/10.1016/j.technovation.2022.102544 Text en © 2022 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Gupta, Shivam Modgil, Sachin Bhatt, Priyanka C. Chiappetta Jabbour, Charbel Jose Kamble, Sachin Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry |
title | Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry |
title_full | Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry |
title_fullStr | Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry |
title_full_unstemmed | Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry |
title_short | Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry |
title_sort | quantum computing led innovation for achieving a more sustainable covid-19 healthcare industry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072813/ http://dx.doi.org/10.1016/j.technovation.2022.102544 |
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