Developing a delivery science for artificial intelligence in healthcare

Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the promise of AI delivering scalable and sustained value for patient care in the real world setting has yet to be realized...

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Autores principales: Ron C. Li, Steven M. Asch, Nigam H. Shah
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/523d82af9a9947ef9b61f322e9e2f656
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spelling oai:doaj.org-article:523d82af9a9947ef9b61f322e9e2f6562021-12-02T17:08:21ZDeveloping a delivery science for artificial intelligence in healthcare10.1038/s41746-020-00318-y2398-6352https://doaj.org/article/523d82af9a9947ef9b61f322e9e2f6562020-08-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-00318-yhttps://doaj.org/toc/2398-6352Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the promise of AI delivering scalable and sustained value for patient care in the real world setting has yet to be realized. In order to safely and effectively bring AI into use in healthcare, there needs to be a concerted effort around not just the creation, but also the delivery of AI. This AI “delivery science” will require a broader set of tools, such as design thinking, process improvement, and implementation science, as well as a broader definition of what AI will look like in practice, which includes not just machine learning models and their predictions, but also the new systems for care delivery that they enable. The careful design, implementation, and evaluation of these AI enabled systems will be important in the effort to understand how AI can improve healthcare.Ron C. LiSteven M. AschNigam H. ShahNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-3 (2020)
institution DOAJ
collection DOAJ
language EN
topic Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle Computer applications to medicine. Medical informatics
R858-859.7
Ron C. Li
Steven M. Asch
Nigam H. Shah
Developing a delivery science for artificial intelligence in healthcare
description Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the promise of AI delivering scalable and sustained value for patient care in the real world setting has yet to be realized. In order to safely and effectively bring AI into use in healthcare, there needs to be a concerted effort around not just the creation, but also the delivery of AI. This AI “delivery science” will require a broader set of tools, such as design thinking, process improvement, and implementation science, as well as a broader definition of what AI will look like in practice, which includes not just machine learning models and their predictions, but also the new systems for care delivery that they enable. The careful design, implementation, and evaluation of these AI enabled systems will be important in the effort to understand how AI can improve healthcare.
format article
author Ron C. Li
Steven M. Asch
Nigam H. Shah
author_facet Ron C. Li
Steven M. Asch
Nigam H. Shah
author_sort Ron C. Li
title Developing a delivery science for artificial intelligence in healthcare
title_short Developing a delivery science for artificial intelligence in healthcare
title_full Developing a delivery science for artificial intelligence in healthcare
title_fullStr Developing a delivery science for artificial intelligence in healthcare
title_full_unstemmed Developing a delivery science for artificial intelligence in healthcare
title_sort developing a delivery science for artificial intelligence in healthcare
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/523d82af9a9947ef9b61f322e9e2f656
work_keys_str_mv AT roncli developingadeliveryscienceforartificialintelligenceinhealthcare
AT stevenmasch developingadeliveryscienceforartificialintelligenceinhealthcare
AT nigamhshah developingadeliveryscienceforartificialintelligenceinhealthcare
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