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Digital twin for healthcare systems

Digital twin technology is revolutionizing healthcare systems by leveraging real-time data integration, advanced analytics, and virtual simulations to enhance patient care, enable predictive analytics, optimize clinical operations, and facilitate training and simulation. With the ability to gather a...

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Detalles Bibliográficos
Autor principal: Vallée, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513171/
https://www.ncbi.nlm.nih.gov/pubmed/37744683
http://dx.doi.org/10.3389/fdgth.2023.1253050
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author Vallée, Alexandre
author_facet Vallée, Alexandre
author_sort Vallée, Alexandre
collection PubMed
description Digital twin technology is revolutionizing healthcare systems by leveraging real-time data integration, advanced analytics, and virtual simulations to enhance patient care, enable predictive analytics, optimize clinical operations, and facilitate training and simulation. With the ability to gather and analyze a wealth of patient data from various sources, digital twins can offer personalized treatment plans based on individual characteristics, medical history, and real-time physiological data. Predictive analytics and preventive interventions are made possible by machine learning algorithms, allowing for early detection of health risks and proactive interventions. Digital twins can optimize clinical operations by analyzing workflows and resource allocation, leading to streamlined processes and improved patient care. Moreover, digital twins can provide a safe and realistic environment for healthcare professionals to enhance their skills and practice complex procedures. The implementation of digital twin technology in healthcare has the potential to significantly improve patient outcomes, enhance patient safety, and drive innovation in the healthcare industry.
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spelling pubmed-105131712023-09-22 Digital twin for healthcare systems Vallée, Alexandre Front Digit Health Digital Health Digital twin technology is revolutionizing healthcare systems by leveraging real-time data integration, advanced analytics, and virtual simulations to enhance patient care, enable predictive analytics, optimize clinical operations, and facilitate training and simulation. With the ability to gather and analyze a wealth of patient data from various sources, digital twins can offer personalized treatment plans based on individual characteristics, medical history, and real-time physiological data. Predictive analytics and preventive interventions are made possible by machine learning algorithms, allowing for early detection of health risks and proactive interventions. Digital twins can optimize clinical operations by analyzing workflows and resource allocation, leading to streamlined processes and improved patient care. Moreover, digital twins can provide a safe and realistic environment for healthcare professionals to enhance their skills and practice complex procedures. The implementation of digital twin technology in healthcare has the potential to significantly improve patient outcomes, enhance patient safety, and drive innovation in the healthcare industry. Frontiers Media S.A. 2023-09-07 /pmc/articles/PMC10513171/ /pubmed/37744683 http://dx.doi.org/10.3389/fdgth.2023.1253050 Text en © 2023 Vallée. 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) (https://creativecommons.org/licenses/by/4.0/) . 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 Digital Health
Vallée, Alexandre
Digital twin for healthcare systems
title Digital twin for healthcare systems
title_full Digital twin for healthcare systems
title_fullStr Digital twin for healthcare systems
title_full_unstemmed Digital twin for healthcare systems
title_short Digital twin for healthcare systems
title_sort digital twin for healthcare systems
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513171/
https://www.ncbi.nlm.nih.gov/pubmed/37744683
http://dx.doi.org/10.3389/fdgth.2023.1253050
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