Majed Mowanes Alruwaili, Fuad H Abuadas, Mohammad Alsadi, Abeer Nuwayfi Alruwaili, Osama Mohamed Elsayed Ramadan, Mostafa Shaban, Abdulellah Al Thobaity, Saad Muaidh Alkahtani, Rabie Adel El Arab
{"title":"探索护士对人工智能的认识和态度:对护理实践的影响。","authors":"Majed Mowanes Alruwaili, Fuad H Abuadas, Mohammad Alsadi, Abeer Nuwayfi Alruwaili, Osama Mohamed Elsayed Ramadan, Mostafa Shaban, Abdulellah Al Thobaity, Saad Muaidh Alkahtani, Rabie Adel El Arab","doi":"10.1177/20552076241271803","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Worldwide, healthcare systems aim to achieve the best possible quality of care at an affordable cost while ensuring broad access for all populations. The use of artificial intelligence (AI) in healthcare holds promise to address these challenges through the integration of real-world data-driven insights into patient care processes. This study aims to assess nurses' awareness and attitudes toward AI-integrated tools used in clinical practice.</p><p><strong>Methods: </strong>A descriptive cross-sectional design captured nurses' responses at three governmental hospitals in Saudi Arabia by using an online questionnaire administered over 4 months. The study involved 220 registered nurses with a minimum of one year of clinical experience, selected through a convenience sampling method. The online survey consisted of three sections: demographic information, an assessment of nurses' AI knowledge, and the general attitudes toward the AI scale.</p><p><strong>Results: </strong>Nurses displayed \"moderate\" levels of awareness toward AI technology, with 70.9% having basic information about AI and only 58.2% (128 nurses) were considered \"aware\" of AI as they dealt with one of its healthcare applications. Nurses expressed openness to AI integration (<i>M</i> = 3.51) on one side, but also had some concerns about AI. Nurses expressed conservative attitudes toward AI, with significant differences observed based on gender (χ² = 4.67, <i>p</i> < 0.05). Female nurses exhibited a higher proportion of negative attitudes compared to male nurses. Significant differences were also found based on age (χ² = 9.31, <i>p</i> < 0.05), with younger nurses demonstrating more positive attitudes toward AI compared to their older counterparts. Educational background yields significant differences (χ² = 6.70, <i>p</i> < 0.05), with nurses holding undergraduate degrees exhibiting the highest positive attitudes. However, years of nursing experience did not reveal significant variations in attitudes.</p><p><strong>Conclusion: </strong>Healthcare and nursing administrators need to work on increasing the nurses' awareness of AI applications and emphasize the importance of integrating such technology into the systems in use. Moreover, addressing nurses' concerns about AI's control and discomfort is crucial, especially considering generational differences, with younger nurses often having more positive attitudes toward technology. Change management strategies may help overcome any hindrances.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304479/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring nurses' awareness and attitudes toward artificial intelligence: Implications for nursing practice.\",\"authors\":\"Majed Mowanes Alruwaili, Fuad H Abuadas, Mohammad Alsadi, Abeer Nuwayfi Alruwaili, Osama Mohamed Elsayed Ramadan, Mostafa Shaban, Abdulellah Al Thobaity, Saad Muaidh Alkahtani, Rabie Adel El Arab\",\"doi\":\"10.1177/20552076241271803\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Worldwide, healthcare systems aim to achieve the best possible quality of care at an affordable cost while ensuring broad access for all populations. The use of artificial intelligence (AI) in healthcare holds promise to address these challenges through the integration of real-world data-driven insights into patient care processes. This study aims to assess nurses' awareness and attitudes toward AI-integrated tools used in clinical practice.</p><p><strong>Methods: </strong>A descriptive cross-sectional design captured nurses' responses at three governmental hospitals in Saudi Arabia by using an online questionnaire administered over 4 months. The study involved 220 registered nurses with a minimum of one year of clinical experience, selected through a convenience sampling method. The online survey consisted of three sections: demographic information, an assessment of nurses' AI knowledge, and the general attitudes toward the AI scale.</p><p><strong>Results: </strong>Nurses displayed \\\"moderate\\\" levels of awareness toward AI technology, with 70.9% having basic information about AI and only 58.2% (128 nurses) were considered \\\"aware\\\" of AI as they dealt with one of its healthcare applications. Nurses expressed openness to AI integration (<i>M</i> = 3.51) on one side, but also had some concerns about AI. Nurses expressed conservative attitudes toward AI, with significant differences observed based on gender (χ² = 4.67, <i>p</i> < 0.05). Female nurses exhibited a higher proportion of negative attitudes compared to male nurses. Significant differences were also found based on age (χ² = 9.31, <i>p</i> < 0.05), with younger nurses demonstrating more positive attitudes toward AI compared to their older counterparts. Educational background yields significant differences (χ² = 6.70, <i>p</i> < 0.05), with nurses holding undergraduate degrees exhibiting the highest positive attitudes. However, years of nursing experience did not reveal significant variations in attitudes.</p><p><strong>Conclusion: </strong>Healthcare and nursing administrators need to work on increasing the nurses' awareness of AI applications and emphasize the importance of integrating such technology into the systems in use. Moreover, addressing nurses' concerns about AI's control and discomfort is crucial, especially considering generational differences, with younger nurses often having more positive attitudes toward technology. 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引用次数: 0
摘要
导言:在全球范围内,医疗保健系统的目标是以可承受的成本实现最佳的医疗质量,同时确保所有人群都能获得广泛的医疗服务。人工智能(AI)在医疗保健领域的应用有望通过将真实世界数据驱动的洞察力整合到患者护理流程中来应对这些挑战。本研究旨在评估护士对临床实践中使用的人工智能集成工具的认识和态度:方法:采用描述性横断面设计,在沙特阿拉伯的三家政府医院使用在线问卷调查的方式收集护士的反馈,问卷调查为期 4 个月。这项研究通过便利抽样法选取了 220 名至少有一年临床经验的注册护士。在线调查包括三个部分:人口统计学信息、护士人工智能知识评估和对人工智能的总体态度量表:结果显示,护士对人工智能技术的认知度处于 "中等 "水平,70.9%的护士对人工智能有基本的了解,只有58.2%(128名护士)被认为 "了解 "人工智能,因为他们处理过其中一项医疗应用。护士们一方面对人工智能的整合持开放态度(M = 3.51),但同时也对人工智能有一些担忧。护士们对人工智能持保守态度,性别差异显著(χ² = 4.67,p p p 结论:医疗和护理管理者需要努力提高护士对人工智能应用的认识,并强调将此类技术整合到正在使用的系统中的重要性。此外,解决护士对人工智能控制和不适的担忧也至关重要,特别是考虑到代际差异,年轻护士通常对技术持更积极的态度。变革管理策略可能有助于克服任何障碍。
Exploring nurses' awareness and attitudes toward artificial intelligence: Implications for nursing practice.
Introduction: Worldwide, healthcare systems aim to achieve the best possible quality of care at an affordable cost while ensuring broad access for all populations. The use of artificial intelligence (AI) in healthcare holds promise to address these challenges through the integration of real-world data-driven insights into patient care processes. This study aims to assess nurses' awareness and attitudes toward AI-integrated tools used in clinical practice.
Methods: A descriptive cross-sectional design captured nurses' responses at three governmental hospitals in Saudi Arabia by using an online questionnaire administered over 4 months. The study involved 220 registered nurses with a minimum of one year of clinical experience, selected through a convenience sampling method. The online survey consisted of three sections: demographic information, an assessment of nurses' AI knowledge, and the general attitudes toward the AI scale.
Results: Nurses displayed "moderate" levels of awareness toward AI technology, with 70.9% having basic information about AI and only 58.2% (128 nurses) were considered "aware" of AI as they dealt with one of its healthcare applications. Nurses expressed openness to AI integration (M = 3.51) on one side, but also had some concerns about AI. Nurses expressed conservative attitudes toward AI, with significant differences observed based on gender (χ² = 4.67, p < 0.05). Female nurses exhibited a higher proportion of negative attitudes compared to male nurses. Significant differences were also found based on age (χ² = 9.31, p < 0.05), with younger nurses demonstrating more positive attitudes toward AI compared to their older counterparts. Educational background yields significant differences (χ² = 6.70, p < 0.05), with nurses holding undergraduate degrees exhibiting the highest positive attitudes. However, years of nursing experience did not reveal significant variations in attitudes.
Conclusion: Healthcare and nursing administrators need to work on increasing the nurses' awareness of AI applications and emphasize the importance of integrating such technology into the systems in use. Moreover, addressing nurses' concerns about AI's control and discomfort is crucial, especially considering generational differences, with younger nurses often having more positive attitudes toward technology. Change management strategies may help overcome any hindrances.