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The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care
While technological innovations are the invariable crux of speculation about the future of critical care, they cannot replace the clinician at the bedside. This article summarizes the work of the Society of Critical Care Medicine–appointed multiprofessional task for the Future of Critical Care. The...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926065/ https://www.ncbi.nlm.nih.gov/pubmed/35308462 http://dx.doi.org/10.1097/CCE.0000000000000659 |
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author | Meissen, Heather Gong, Michelle Ng Wong, An-Kwok Ian Zimmerman, Jerry J. Nadkarni, Nalini Kane-Gil, Sandra L. Amador-Castaneda, Javier Bailey, Heatherlee Brown, Samuel M. DePriest, Ashley D. Mary Eche, Ifeoma Narayan, Mayur Provencio, Jose Javier Sederstrom, Nneka O. Sevransky, Jonathan Tremper, Jordan Aslakson, Rebecca A. |
author_facet | Meissen, Heather Gong, Michelle Ng Wong, An-Kwok Ian Zimmerman, Jerry J. Nadkarni, Nalini Kane-Gil, Sandra L. Amador-Castaneda, Javier Bailey, Heatherlee Brown, Samuel M. DePriest, Ashley D. Mary Eche, Ifeoma Narayan, Mayur Provencio, Jose Javier Sederstrom, Nneka O. Sevransky, Jonathan Tremper, Jordan Aslakson, Rebecca A. |
author_sort | Meissen, Heather |
collection | PubMed |
description | While technological innovations are the invariable crux of speculation about the future of critical care, they cannot replace the clinician at the bedside. This article summarizes the work of the Society of Critical Care Medicine–appointed multiprofessional task for the Future of Critical Care. The Task Force notes that critical care practice will be transformed by novel technologies, integration of artificial intelligence decision support algorithms, and advances in seamless data operationalization across diverse healthcare systems and geographic regions and within federated datasets. Yet, new technologies will be relevant and meaningful only if they improve the very human endeavor of caring for someone who is critically ill. |
format | Online Article Text |
id | pubmed-8926065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-89260652022-03-17 The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care Meissen, Heather Gong, Michelle Ng Wong, An-Kwok Ian Zimmerman, Jerry J. Nadkarni, Nalini Kane-Gil, Sandra L. Amador-Castaneda, Javier Bailey, Heatherlee Brown, Samuel M. DePriest, Ashley D. Mary Eche, Ifeoma Narayan, Mayur Provencio, Jose Javier Sederstrom, Nneka O. Sevransky, Jonathan Tremper, Jordan Aslakson, Rebecca A. Crit Care Explor Commentary While technological innovations are the invariable crux of speculation about the future of critical care, they cannot replace the clinician at the bedside. This article summarizes the work of the Society of Critical Care Medicine–appointed multiprofessional task for the Future of Critical Care. The Task Force notes that critical care practice will be transformed by novel technologies, integration of artificial intelligence decision support algorithms, and advances in seamless data operationalization across diverse healthcare systems and geographic regions and within federated datasets. Yet, new technologies will be relevant and meaningful only if they improve the very human endeavor of caring for someone who is critically ill. Lippincott Williams & Wilkins 2022-03-15 /pmc/articles/PMC8926065/ /pubmed/35308462 http://dx.doi.org/10.1097/CCE.0000000000000659 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Commentary Meissen, Heather Gong, Michelle Ng Wong, An-Kwok Ian Zimmerman, Jerry J. Nadkarni, Nalini Kane-Gil, Sandra L. Amador-Castaneda, Javier Bailey, Heatherlee Brown, Samuel M. DePriest, Ashley D. Mary Eche, Ifeoma Narayan, Mayur Provencio, Jose Javier Sederstrom, Nneka O. Sevransky, Jonathan Tremper, Jordan Aslakson, Rebecca A. The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care |
title | The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care |
title_full | The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care |
title_fullStr | The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care |
title_full_unstemmed | The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care |
title_short | The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care |
title_sort | future of critical care: optimizing technologies and a learning healthcare system to potentiate a more humanistic approach to critical care |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926065/ https://www.ncbi.nlm.nih.gov/pubmed/35308462 http://dx.doi.org/10.1097/CCE.0000000000000659 |
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