Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰

Healthcare provision has a significant climate impact and, conversely, the climate is a determinant of population health. Research is underway to quantify the emissions from healthcare systems, which helps with reducing and offsetting them. Artificial intelligence (AI) is a rapidly developing field...

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Autores principales:	PS Bloomfield, P Clutton-Brock, E Pencheon, J Magnusson, K Karpathakis
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Artificial intelligence Carbon footprint Healthcare NHS digital health Public aspects of medicine RA1-1270 Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/854f7d8a7558406fa7223be116ac5559
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spelling	oai:doaj.org-article:854f7d8a7558406fa7223be116ac55592021-11-18T04:54:06ZArtificial Intelligence in the NHS: Climate and Emissions✰,✰✰2667-278210.1016/j.joclim.2021.100056https://doaj.org/article/854f7d8a7558406fa7223be116ac55592021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667278221000535https://doaj.org/toc/2667-2782Healthcare provision has a significant climate impact and, conversely, the climate is a determinant of population health. Research is underway to quantify the emissions from healthcare systems, which helps with reducing and offsetting them. Artificial intelligence (AI) is a rapidly developing field contributing to the English National Health Service (NHS) goals of more efficient care and reduced climate impact. There are concerns about the detrimental carbon emissions from training and deploying AI models. Conversely, AI could potentially reduce emissions through process optimisation and changing models of care.In this narrative scoping review using the NHS as a case study we consider: AI in healthcare, methodologies for quantifying AI associated emissions, and opportunities for using AI to support NHS emission reduction efforts. We present the metrics and approaches commonly used to quantify climate impact in the field of AI and interpret them alongside healthcare AI.While the NHS, and other health systems, are investing in the potential of AI technologies to improve health services, more should be done to quantify the climate impact of AI tools. Standardised measures are lacking, thereby limiting the ability to reduce and offset the climate impact of AI. We provide recommendations for policymakers, climate researchers, and AI developers to consider as part of achieving a net zero NHS by 2040.PS BloomfieldP Clutton-BrockE PencheonJ MagnussonK KarpathakisElsevierarticleArtificial intelligenceCarbon footprintHealthcareNHSdigital healthPublic aspects of medicineRA1-1270Meteorology. ClimatologyQC851-999ENThe Journal of Climate Change and Health, Vol 4, Iss , Pp 100056- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Artificial intelligence Carbon footprint Healthcare NHS digital health Public aspects of medicine RA1-1270 Meteorology. Climatology QC851-999
spellingShingle	Artificial intelligence Carbon footprint Healthcare NHS digital health Public aspects of medicine RA1-1270 Meteorology. Climatology QC851-999 PS Bloomfield P Clutton-Brock E Pencheon J Magnusson K Karpathakis Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰
description	Healthcare provision has a significant climate impact and, conversely, the climate is a determinant of population health. Research is underway to quantify the emissions from healthcare systems, which helps with reducing and offsetting them. Artificial intelligence (AI) is a rapidly developing field contributing to the English National Health Service (NHS) goals of more efficient care and reduced climate impact. There are concerns about the detrimental carbon emissions from training and deploying AI models. Conversely, AI could potentially reduce emissions through process optimisation and changing models of care.In this narrative scoping review using the NHS as a case study we consider: AI in healthcare, methodologies for quantifying AI associated emissions, and opportunities for using AI to support NHS emission reduction efforts. We present the metrics and approaches commonly used to quantify climate impact in the field of AI and interpret them alongside healthcare AI.While the NHS, and other health systems, are investing in the potential of AI technologies to improve health services, more should be done to quantify the climate impact of AI tools. Standardised measures are lacking, thereby limiting the ability to reduce and offset the climate impact of AI. We provide recommendations for policymakers, climate researchers, and AI developers to consider as part of achieving a net zero NHS by 2040.
format	article
author	PS Bloomfield P Clutton-Brock E Pencheon J Magnusson K Karpathakis
author_facet	PS Bloomfield P Clutton-Brock E Pencheon J Magnusson K Karpathakis
author_sort	PS Bloomfield
title	Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰
title_short	Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰
title_full	Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰
title_fullStr	Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰
title_full_unstemmed	Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰
title_sort	artificial intelligence in the nhs: climate and emissions✰,✰✰
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/854f7d8a7558406fa7223be116ac5559
work_keys_str_mv	AT psbloomfield artificialintelligenceinthenhsclimateandemissions AT pcluttonbrock artificialintelligenceinthenhsclimateandemissions AT epencheon artificialintelligenceinthenhsclimateandemissions AT jmagnusson artificialintelligenceinthenhsclimateandemissions AT kkarpathakis artificialintelligenceinthenhsclimateandemissions
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Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰

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