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The Impact of Artificial Intelligence on Quality and Safety
As exponential expansion of computing capacity converges with unsustainable health care spending, a hopeful opportunity has emerged: the use of artificial intelligence to enhance health care quality and safety. These computer-based algorithms can perform the intricate and extremely complex mathemati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947683/ https://www.ncbi.nlm.nih.gov/pubmed/31934528 http://dx.doi.org/10.1177/2192568219878133 |
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author | Lee, Michelle S. Grabowski, Matthew M. Habboub, Ghaith Mroz, Thomas E. |
author_facet | Lee, Michelle S. Grabowski, Matthew M. Habboub, Ghaith Mroz, Thomas E. |
author_sort | Lee, Michelle S. |
collection | PubMed |
description | As exponential expansion of computing capacity converges with unsustainable health care spending, a hopeful opportunity has emerged: the use of artificial intelligence to enhance health care quality and safety. These computer-based algorithms can perform the intricate and extremely complex mathematical operations of classification or regression on immense amounts of data to detect intricate and potentially previously unknown patterns in that data, with the end result of creating predictive models that can be utilized in clinical practice. Such models are designed to distinguish relevant from irrelevant data regarding a particular patient; choose appropriate perioperative care, intervention or surgery; predict cost of care and reimbursement; and predict future outcomes on a variety of anchored measures. If and when one is brought to fruition, an artificial intelligence platform could serve as the first legitimate clinical decision-making tool in spine care, delivering on the value equation while serving as a source for improving physician performance and promoting appropriate, efficient care in this era of financial uncertainty in health care. |
format | Online Article Text |
id | pubmed-6947683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-69476832020-01-13 The Impact of Artificial Intelligence on Quality and Safety Lee, Michelle S. Grabowski, Matthew M. Habboub, Ghaith Mroz, Thomas E. Global Spine J Quality in the Present and in the Future As exponential expansion of computing capacity converges with unsustainable health care spending, a hopeful opportunity has emerged: the use of artificial intelligence to enhance health care quality and safety. These computer-based algorithms can perform the intricate and extremely complex mathematical operations of classification or regression on immense amounts of data to detect intricate and potentially previously unknown patterns in that data, with the end result of creating predictive models that can be utilized in clinical practice. Such models are designed to distinguish relevant from irrelevant data regarding a particular patient; choose appropriate perioperative care, intervention or surgery; predict cost of care and reimbursement; and predict future outcomes on a variety of anchored measures. If and when one is brought to fruition, an artificial intelligence platform could serve as the first legitimate clinical decision-making tool in spine care, delivering on the value equation while serving as a source for improving physician performance and promoting appropriate, efficient care in this era of financial uncertainty in health care. SAGE Publications 2020-01-06 2020-01 /pmc/articles/PMC6947683/ /pubmed/31934528 http://dx.doi.org/10.1177/2192568219878133 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc-nd/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Quality in the Present and in the Future Lee, Michelle S. Grabowski, Matthew M. Habboub, Ghaith Mroz, Thomas E. The Impact of Artificial Intelligence on Quality and Safety |
title | The Impact of Artificial Intelligence on Quality and Safety |
title_full | The Impact of Artificial Intelligence on Quality and Safety |
title_fullStr | The Impact of Artificial Intelligence on Quality and Safety |
title_full_unstemmed | The Impact of Artificial Intelligence on Quality and Safety |
title_short | The Impact of Artificial Intelligence on Quality and Safety |
title_sort | impact of artificial intelligence on quality and safety |
topic | Quality in the Present and in the Future |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947683/ https://www.ncbi.nlm.nih.gov/pubmed/31934528 http://dx.doi.org/10.1177/2192568219878133 |
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