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Artificial intelligence assisted acute patient journey
Artificial intelligence is taking the world by storm and soon will be aiding patients in their journey at the hospital. The trials and tribulations of the healthcare system during the COVID-19 pandemic have set the stage for shifting healthcare from a physical to a cyber-physical space. A physician...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577284/ https://www.ncbi.nlm.nih.gov/pubmed/36267660 http://dx.doi.org/10.3389/frai.2022.962165 |
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author | Nazir, Talha Mushhood Ur Rehman, Muhammad Asghar, Muhammad Roshan Kalia, Junaid S. |
author_facet | Nazir, Talha Mushhood Ur Rehman, Muhammad Asghar, Muhammad Roshan Kalia, Junaid S. |
author_sort | Nazir, Talha |
collection | PubMed |
description | Artificial intelligence is taking the world by storm and soon will be aiding patients in their journey at the hospital. The trials and tribulations of the healthcare system during the COVID-19 pandemic have set the stage for shifting healthcare from a physical to a cyber-physical space. A physician can now remotely monitor a patient, admitting them only if they meet certain thresholds, thereby reducing the total number of admissions at the hospital. Coordination, communication, and resource management have been core issues for any industry. However, it is most accurate in healthcare. Both systems and providers are exhausted under the burden of increasing data and complexity of care delivery, increasing costs, and financial burden. Simultaneously, there is a digital transformation of healthcare in the making. This transformation provides an opportunity to create systems of care that are artificial intelligence-enabled. Healthcare resources can be utilized more justly. The wastage of financial and intellectual resources in an overcrowded healthcare system can be avoided by implementing IoT, telehealth, and AI/ML-based algorithms. It is imperative to consider the design principles of the patient's journey while simultaneously prioritizing a better user experience to alleviate physician concerns. This paper discusses the entire blueprint of the AI/ML-assisted patient journey and its impact on healthcare provision. |
format | Online Article Text |
id | pubmed-9577284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95772842022-10-19 Artificial intelligence assisted acute patient journey Nazir, Talha Mushhood Ur Rehman, Muhammad Asghar, Muhammad Roshan Kalia, Junaid S. Front Artif Intell Artificial Intelligence Artificial intelligence is taking the world by storm and soon will be aiding patients in their journey at the hospital. The trials and tribulations of the healthcare system during the COVID-19 pandemic have set the stage for shifting healthcare from a physical to a cyber-physical space. A physician can now remotely monitor a patient, admitting them only if they meet certain thresholds, thereby reducing the total number of admissions at the hospital. Coordination, communication, and resource management have been core issues for any industry. However, it is most accurate in healthcare. Both systems and providers are exhausted under the burden of increasing data and complexity of care delivery, increasing costs, and financial burden. Simultaneously, there is a digital transformation of healthcare in the making. This transformation provides an opportunity to create systems of care that are artificial intelligence-enabled. Healthcare resources can be utilized more justly. The wastage of financial and intellectual resources in an overcrowded healthcare system can be avoided by implementing IoT, telehealth, and AI/ML-based algorithms. It is imperative to consider the design principles of the patient's journey while simultaneously prioritizing a better user experience to alleviate physician concerns. This paper discusses the entire blueprint of the AI/ML-assisted patient journey and its impact on healthcare provision. Frontiers Media S.A. 2022-10-04 /pmc/articles/PMC9577284/ /pubmed/36267660 http://dx.doi.org/10.3389/frai.2022.962165 Text en Copyright © 2022 Nazir, Mushhood Ur Rehman, Asghar and Kalia. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Nazir, Talha Mushhood Ur Rehman, Muhammad Asghar, Muhammad Roshan Kalia, Junaid S. Artificial intelligence assisted acute patient journey |
title | Artificial intelligence assisted acute patient journey |
title_full | Artificial intelligence assisted acute patient journey |
title_fullStr | Artificial intelligence assisted acute patient journey |
title_full_unstemmed | Artificial intelligence assisted acute patient journey |
title_short | Artificial intelligence assisted acute patient journey |
title_sort | artificial intelligence assisted acute patient journey |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577284/ https://www.ncbi.nlm.nih.gov/pubmed/36267660 http://dx.doi.org/10.3389/frai.2022.962165 |
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