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Emerging health start-ups for economic feasibility: opportunities during COVID-19
The Indian population has a potential threat of communicable and noncommunicable diseases. The low preventive health measure is a cause of significant loss to the economy. The integration of the cloud platform with remote wearable sensors not only helps the health stakeholders to capture the patient...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261776/ http://dx.doi.org/10.1016/B978-0-12-824557-6.00010-8 |
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author | Nanda, Shweta |
author_facet | Nanda, Shweta |
author_sort | Nanda, Shweta |
collection | PubMed |
description | The Indian population has a potential threat of communicable and noncommunicable diseases. The low preventive health measure is a cause of significant loss to the economy. The integration of the cloud platform with remote wearable sensors not only helps the health stakeholders to capture the patient’s vitals but also perform predictive analysis during COVID-19. Raising timely alarms through the Internet of Medical Things and artificial intelligence (AI) has complete preventive care applications through real-time analytics. However, health merchandise start-ups using AI and machine learning for timely device delivery face delay in making themselves available and affordable for remote patients of Tiers II and III. This study takes a health service provider perspective and seeks to study the problem situation using a causal loop model. Finally, analysis of the feedback loops and medical device import data is done to develop suitable strategies for COVID-19 patients of remote locations. |
format | Online Article Text |
id | pubmed-9261776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-92617762022-07-07 Emerging health start-ups for economic feasibility: opportunities during COVID-19 Nanda, Shweta Cyber-Physical Systems Article The Indian population has a potential threat of communicable and noncommunicable diseases. The low preventive health measure is a cause of significant loss to the economy. The integration of the cloud platform with remote wearable sensors not only helps the health stakeholders to capture the patient’s vitals but also perform predictive analysis during COVID-19. Raising timely alarms through the Internet of Medical Things and artificial intelligence (AI) has complete preventive care applications through real-time analytics. However, health merchandise start-ups using AI and machine learning for timely device delivery face delay in making themselves available and affordable for remote patients of Tiers II and III. This study takes a health service provider perspective and seeks to study the problem situation using a causal loop model. Finally, analysis of the feedback loops and medical device import data is done to develop suitable strategies for COVID-19 patients of remote locations. 2022 2022-01-14 /pmc/articles/PMC9261776/ http://dx.doi.org/10.1016/B978-0-12-824557-6.00010-8 Text en Copyright © 2022 Elsevier Inc. All rights reserved. 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 Nanda, Shweta Emerging health start-ups for economic feasibility: opportunities during COVID-19 |
title | Emerging health start-ups for economic feasibility: opportunities during COVID-19 |
title_full | Emerging health start-ups for economic feasibility: opportunities during COVID-19 |
title_fullStr | Emerging health start-ups for economic feasibility: opportunities during COVID-19 |
title_full_unstemmed | Emerging health start-ups for economic feasibility: opportunities during COVID-19 |
title_short | Emerging health start-ups for economic feasibility: opportunities during COVID-19 |
title_sort | emerging health start-ups for economic feasibility: opportunities during covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261776/ http://dx.doi.org/10.1016/B978-0-12-824557-6.00010-8 |
work_keys_str_mv | AT nandashweta emerginghealthstartupsforeconomicfeasibilityopportunitiesduringcovid19 |