{"title":"人工智能在沙特阿拉伯老年护理中的未来。","authors":"Noura Almadani","doi":"10.1186/s12877-025-06136-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>As a part of Vision 2030, Saudi Arabia initiated a health transformation program to enhance the quality and efficiency of healthcare services through digitizing the health sector and introducing various technological innovations.</p><p><strong>Methods: </strong>A qualitative approach was used to explore the future of artificial intelligence (AI) of eight postgraduate students in the gerontological nursing program by investigating their perceptions, experiences, and challenges. The data was presented as key themes and subthemes using thematic analysis methods.</p><p><strong>Results: </strong>The thematic analysis revealed the precise role of AI in gerontological nursing. While participants strongly believe that AI has the potential to improve patient care and nursing efficiency, they also expressed significant concerns regarding ethical implications.</p><p><strong>Conclusions: </strong>The research highlights that AI is pivotal in developing healthcare solutions for older adults. By automating routine tasks and offering personalized medical and social interactions, AI can potentially transform gerontological nursing practices.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"544"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The future of artificial intelligence in gerontological nursing in Saudi Arabia.\",\"authors\":\"Noura Almadani\",\"doi\":\"10.1186/s12877-025-06136-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>As a part of Vision 2030, Saudi Arabia initiated a health transformation program to enhance the quality and efficiency of healthcare services through digitizing the health sector and introducing various technological innovations.</p><p><strong>Methods: </strong>A qualitative approach was used to explore the future of artificial intelligence (AI) of eight postgraduate students in the gerontological nursing program by investigating their perceptions, experiences, and challenges. The data was presented as key themes and subthemes using thematic analysis methods.</p><p><strong>Results: </strong>The thematic analysis revealed the precise role of AI in gerontological nursing. While participants strongly believe that AI has the potential to improve patient care and nursing efficiency, they also expressed significant concerns regarding ethical implications.</p><p><strong>Conclusions: </strong>The research highlights that AI is pivotal in developing healthcare solutions for older adults. By automating routine tasks and offering personalized medical and social interactions, AI can potentially transform gerontological nursing practices.</p>\",\"PeriodicalId\":9056,\"journal\":{\"name\":\"BMC Geriatrics\",\"volume\":\"25 1\",\"pages\":\"544\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Geriatrics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12877-025-06136-9\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Geriatrics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12877-025-06136-9","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
The future of artificial intelligence in gerontological nursing in Saudi Arabia.
Background: As a part of Vision 2030, Saudi Arabia initiated a health transformation program to enhance the quality and efficiency of healthcare services through digitizing the health sector and introducing various technological innovations.
Methods: A qualitative approach was used to explore the future of artificial intelligence (AI) of eight postgraduate students in the gerontological nursing program by investigating their perceptions, experiences, and challenges. The data was presented as key themes and subthemes using thematic analysis methods.
Results: The thematic analysis revealed the precise role of AI in gerontological nursing. While participants strongly believe that AI has the potential to improve patient care and nursing efficiency, they also expressed significant concerns regarding ethical implications.
Conclusions: The research highlights that AI is pivotal in developing healthcare solutions for older adults. By automating routine tasks and offering personalized medical and social interactions, AI can potentially transform gerontological nursing practices.
期刊介绍：
BMC Geriatrics is an open access journal publishing original peer-reviewed research articles in all aspects of the health and healthcare of older people, including the effects of healthcare systems and policies. The journal also welcomes research focused on the aging process, including cellular, genetic, and physiological processes and cognitive modifications.
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