Clinical Note Creation, Binning, and Artificial Intelligence

The creation of medical notes in software applications poses an intrinsic problem in workflow as the technology inherently intervenes in the processes of collecting and assembling information, as well as the production of a data-driven note that meets both individual and healthcare system requiremen...

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Detalles Bibliográficos
Autores principales: Deliberato, Rodrigo Octávio, Celi, Leo Anthony, Stone, David J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Viewpoint
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561387/
https://www.ncbi.nlm.nih.gov/pubmed/28778845
http://dx.doi.org/10.2196/medinform.7627
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author Deliberato, Rodrigo Octávio
Celi, Leo Anthony
Stone, David J
author_facet Deliberato, Rodrigo Octávio
Celi, Leo Anthony
Stone, David J
author_sort Deliberato, Rodrigo Octávio
collection PubMed
description The creation of medical notes in software applications poses an intrinsic problem in workflow as the technology inherently intervenes in the processes of collecting and assembling information, as well as the production of a data-driven note that meets both individual and healthcare system requirements. In addition, the note writing applications in currently available electronic health records (EHRs) do not function to support decision making to any substantial degree. We suggest that artificial intelligence (AI) could be utilized to facilitate the workflows of the data collection and assembly processes, as well as to support the development of personalized, yet data-driven assessments and plans.
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spelling pubmed-55613872017-08-29 Clinical Note Creation, Binning, and Artificial Intelligence Deliberato, Rodrigo Octávio Celi, Leo Anthony Stone, David J JMIR Med Inform Viewpoint The creation of medical notes in software applications poses an intrinsic problem in workflow as the technology inherently intervenes in the processes of collecting and assembling information, as well as the production of a data-driven note that meets both individual and healthcare system requirements. In addition, the note writing applications in currently available electronic health records (EHRs) do not function to support decision making to any substantial degree. We suggest that artificial intelligence (AI) could be utilized to facilitate the workflows of the data collection and assembly processes, as well as to support the development of personalized, yet data-driven assessments and plans. JMIR Publications 2017-08-03 /pmc/articles/PMC5561387/ /pubmed/28778845 http://dx.doi.org/10.2196/medinform.7627 Text en ©Rodrigo Octávio Deliberato, Leo Anthony Celi, David J Stone. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 03.08.2017. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Deliberato, Rodrigo Octávio
Celi, Leo Anthony
Stone, David J
Clinical Note Creation, Binning, and Artificial Intelligence
title Clinical Note Creation, Binning, and Artificial Intelligence
title_full Clinical Note Creation, Binning, and Artificial Intelligence
title_fullStr Clinical Note Creation, Binning, and Artificial Intelligence
title_full_unstemmed Clinical Note Creation, Binning, and Artificial Intelligence
title_short Clinical Note Creation, Binning, and Artificial Intelligence
title_sort clinical note creation, binning, and artificial intelligence
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561387/
https://www.ncbi.nlm.nih.gov/pubmed/28778845
http://dx.doi.org/10.2196/medinform.7627
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