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Culture intelligent workflow, structure, and steps
INTRODUCTION: Technologies abstract intelligence and provide predictor and precision insight in workflows that manage disorders, similar to cardiology and hematological disease. Positive perceptions of Artificial Intelligence (AI) that support Machine Learning (ML) and Deep Learning (DL) manage tran...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011165/ https://www.ncbi.nlm.nih.gov/pubmed/36925615 http://dx.doi.org/10.3389/frai.2023.985469 |
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author | Henry, James Andrew |
author_facet | Henry, James Andrew |
author_sort | Henry, James Andrew |
collection | PubMed |
description | INTRODUCTION: Technologies abstract intelligence and provide predictor and precision insight in workflows that manage disorders, similar to cardiology and hematological disease. Positive perceptions of Artificial Intelligence (AI) that support Machine Learning (ML) and Deep Learning (DL) manage transformations with a safe system that improves wellbeing. In sections, workflow introduces an eXamination (X = AI) as an end-to-end structure to culture workstreams in a step-by-step design to manage populace health in a governed system. METHOD: To better healthcare outcomes, communities and personnel benefit from an explanation and an interpretive that elucidates workflow for citizens or practitioners to comprehend personalized platforms. Therefore, the author undertook structure and practice reviews and appraised perspectives that impact the management of AI in public health and medicine. RESULTS: Figures for the management of AI workflow illustrate and inform on the model, structure, culture, assurance, process steps, values, and governance required for abstract insights in public health and medicine. The papers' end-to-end structure with explanans in a work culture interprets the step-by-step designs that manage the success of AI. Personalized care graphics offer an explanandum in the management of biological analytic value. DISCUSSION: Healthcare leadership collaboratives plan population health with an upstream, workplace and workstream format. Secure workflow and safety wellbeing system requirements prove that genomics and AI improve medicine. Therefore, the paper discusses group understanding of current practice, ethics, policy, and legality. CONCLUSION: “Culture, intelligent workflow, structure, and steps” improve wellbeing with personalized care and align a percept for national opportunities, regional control, and local needs. Personalized practice cultures support analytic systems to describe, predict, precision, and prescript medicine in population health management eXaminations. |
format | Online Article Text |
id | pubmed-10011165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100111652023-03-15 Culture intelligent workflow, structure, and steps Henry, James Andrew Front Artif Intell Artificial Intelligence INTRODUCTION: Technologies abstract intelligence and provide predictor and precision insight in workflows that manage disorders, similar to cardiology and hematological disease. Positive perceptions of Artificial Intelligence (AI) that support Machine Learning (ML) and Deep Learning (DL) manage transformations with a safe system that improves wellbeing. In sections, workflow introduces an eXamination (X = AI) as an end-to-end structure to culture workstreams in a step-by-step design to manage populace health in a governed system. METHOD: To better healthcare outcomes, communities and personnel benefit from an explanation and an interpretive that elucidates workflow for citizens or practitioners to comprehend personalized platforms. Therefore, the author undertook structure and practice reviews and appraised perspectives that impact the management of AI in public health and medicine. RESULTS: Figures for the management of AI workflow illustrate and inform on the model, structure, culture, assurance, process steps, values, and governance required for abstract insights in public health and medicine. The papers' end-to-end structure with explanans in a work culture interprets the step-by-step designs that manage the success of AI. Personalized care graphics offer an explanandum in the management of biological analytic value. DISCUSSION: Healthcare leadership collaboratives plan population health with an upstream, workplace and workstream format. Secure workflow and safety wellbeing system requirements prove that genomics and AI improve medicine. Therefore, the paper discusses group understanding of current practice, ethics, policy, and legality. CONCLUSION: “Culture, intelligent workflow, structure, and steps” improve wellbeing with personalized care and align a percept for national opportunities, regional control, and local needs. Personalized practice cultures support analytic systems to describe, predict, precision, and prescript medicine in population health management eXaminations. Frontiers Media S.A. 2023-02-28 /pmc/articles/PMC10011165/ /pubmed/36925615 http://dx.doi.org/10.3389/frai.2023.985469 Text en Copyright © 2023 Henry. 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). 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 | Artificial Intelligence Henry, James Andrew Culture intelligent workflow, structure, and steps |
title | Culture intelligent workflow, structure, and steps |
title_full | Culture intelligent workflow, structure, and steps |
title_fullStr | Culture intelligent workflow, structure, and steps |
title_full_unstemmed | Culture intelligent workflow, structure, and steps |
title_short | Culture intelligent workflow, structure, and steps |
title_sort | culture intelligent workflow, structure, and steps |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011165/ https://www.ncbi.nlm.nih.gov/pubmed/36925615 http://dx.doi.org/10.3389/frai.2023.985469 |
work_keys_str_mv | AT henryjamesandrew cultureintelligentworkflowstructureandsteps |