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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...

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Autores principales: Nazir, Talha, Mushhood Ur Rehman, Muhammad, Asghar, Muhammad Roshan, Kalia, Junaid S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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