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Effects of Artificial Intelligence on Surgical Patients’ Health Education
Today, the various abilities that nurses require to meet patients’ healthcare needs adequately are all affected by AI-enabled systems. This research used an experimental study design in which 60 subjects were randomly assigned to either an experimental (AI image e-book guidance) group or a control (...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606014/ https://www.ncbi.nlm.nih.gov/pubmed/37893779 http://dx.doi.org/10.3390/healthcare11202705 |
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author | Huang, Hsin-Shu Fang, Hsin-Yuan |
author_facet | Huang, Hsin-Shu Fang, Hsin-Yuan |
author_sort | Huang, Hsin-Shu |
collection | PubMed |
description | Today, the various abilities that nurses require to meet patients’ healthcare needs adequately are all affected by AI-enabled systems. This research used an experimental study design in which 60 subjects were randomly assigned to either an experimental (AI image e-book guidance) group or a control (text paper guidance) group after meeting the admission conditions and agreeing to participate in the study. It was proven that providing AI image e-book guidance before surgery significantly changed the behavior of patients and promoted relief of urinary catheter discomfort through self-efficacy to reduce urinary catheter pain after surgery (p < 0.001). It was found that providing AI image e-book guidance can shorten the time for health education and provide patients with repeated medical education and familiarity with health guidance, which can help to address the important clinical service demand issue and the shortage of nursing staff. |
format | Online Article Text |
id | pubmed-10606014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106060142023-10-28 Effects of Artificial Intelligence on Surgical Patients’ Health Education Huang, Hsin-Shu Fang, Hsin-Yuan Healthcare (Basel) Article Today, the various abilities that nurses require to meet patients’ healthcare needs adequately are all affected by AI-enabled systems. This research used an experimental study design in which 60 subjects were randomly assigned to either an experimental (AI image e-book guidance) group or a control (text paper guidance) group after meeting the admission conditions and agreeing to participate in the study. It was proven that providing AI image e-book guidance before surgery significantly changed the behavior of patients and promoted relief of urinary catheter discomfort through self-efficacy to reduce urinary catheter pain after surgery (p < 0.001). It was found that providing AI image e-book guidance can shorten the time for health education and provide patients with repeated medical education and familiarity with health guidance, which can help to address the important clinical service demand issue and the shortage of nursing staff. MDPI 2023-10-10 /pmc/articles/PMC10606014/ /pubmed/37893779 http://dx.doi.org/10.3390/healthcare11202705 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Hsin-Shu Fang, Hsin-Yuan Effects of Artificial Intelligence on Surgical Patients’ Health Education |
title | Effects of Artificial Intelligence on Surgical Patients’ Health Education |
title_full | Effects of Artificial Intelligence on Surgical Patients’ Health Education |
title_fullStr | Effects of Artificial Intelligence on Surgical Patients’ Health Education |
title_full_unstemmed | Effects of Artificial Intelligence on Surgical Patients’ Health Education |
title_short | Effects of Artificial Intelligence on Surgical Patients’ Health Education |
title_sort | effects of artificial intelligence on surgical patients’ health education |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606014/ https://www.ncbi.nlm.nih.gov/pubmed/37893779 http://dx.doi.org/10.3390/healthcare11202705 |
work_keys_str_mv | AT huanghsinshu effectsofartificialintelligenceonsurgicalpatientshealtheducation AT fanghsinyuan effectsofartificialintelligenceonsurgicalpatientshealtheducation |