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Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals
A large component of the Health Information Systems now comprises numerous independent apps created in the past that need to be merged to provide a more uniform service. In addition to affecting the Intelligent Health Board Functionality and dependability, the quality of these additional apps may al...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492376/ https://www.ncbi.nlm.nih.gov/pubmed/36156966 http://dx.doi.org/10.1155/2022/4048197 |
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author | Almalawi, Abdulmohsen Khan, Asif Irshad Alsolami, Fawaz Abushark, Yoosef B. Alfakeeh, Ahmed S. Mekuriyaw, Walelign Dinku |
author_facet | Almalawi, Abdulmohsen Khan, Asif Irshad Alsolami, Fawaz Abushark, Yoosef B. Alfakeeh, Ahmed S. Mekuriyaw, Walelign Dinku |
author_sort | Almalawi, Abdulmohsen |
collection | PubMed |
description | A large component of the Health Information Systems now comprises numerous independent apps created in the past that need to be merged to provide a more uniform service. In addition to affecting the Intelligent Health Board Functionality and dependability, the quality of these additional apps may also have an impact. A critical characteristic of the SHS's management and upkeep is the SHS's reliance on the real benefits provided to it. In speaking, an HMIS (Healthcare Management Information System) is a computer-based device that benefits medical practitioners to perform their duties more efficiently by coordinating all of their data. Even though these systems are widely used by most of the world, there is a significant need to comprehend these technologies and indeed the potential they provide. Healthcare data warehouses in Saudi Arabia have evolved through time, and this research examines how key service improvements in Saudi present varied viewpoints on how premium initiative help may be attained in health as well as how this could be done. When it comes to understanding how different types of medical professionals interact with healthcare systems throughout history, researchers developed stages of the maturity model. |
format | Online Article Text |
id | pubmed-9492376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94923762022-09-22 Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals Almalawi, Abdulmohsen Khan, Asif Irshad Alsolami, Fawaz Abushark, Yoosef B. Alfakeeh, Ahmed S. Mekuriyaw, Walelign Dinku Comput Intell Neurosci Research Article A large component of the Health Information Systems now comprises numerous independent apps created in the past that need to be merged to provide a more uniform service. In addition to affecting the Intelligent Health Board Functionality and dependability, the quality of these additional apps may also have an impact. A critical characteristic of the SHS's management and upkeep is the SHS's reliance on the real benefits provided to it. In speaking, an HMIS (Healthcare Management Information System) is a computer-based device that benefits medical practitioners to perform their duties more efficiently by coordinating all of their data. Even though these systems are widely used by most of the world, there is a significant need to comprehend these technologies and indeed the potential they provide. Healthcare data warehouses in Saudi Arabia have evolved through time, and this research examines how key service improvements in Saudi present varied viewpoints on how premium initiative help may be attained in health as well as how this could be done. When it comes to understanding how different types of medical professionals interact with healthcare systems throughout history, researchers developed stages of the maturity model. Hindawi 2022-09-14 /pmc/articles/PMC9492376/ /pubmed/36156966 http://dx.doi.org/10.1155/2022/4048197 Text en Copyright © 2022 Abdulmohsen Almalawi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Almalawi, Abdulmohsen Khan, Asif Irshad Alsolami, Fawaz Abushark, Yoosef B. Alfakeeh, Ahmed S. Mekuriyaw, Walelign Dinku Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals |
title | Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals |
title_full | Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals |
title_fullStr | Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals |
title_full_unstemmed | Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals |
title_short | Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals |
title_sort | analysis of the exploration of security and privacy for healthcare management using artificial intelligence: saudi hospitals |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492376/ https://www.ncbi.nlm.nih.gov/pubmed/36156966 http://dx.doi.org/10.1155/2022/4048197 |
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