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Data were gathered using surveys that specifically examined several facets of nursing workflows, the employment of AI, encountered problems, and the sufficiency of training.</p><p><strong>Result: </strong>The findings indicate a varied demographic composition among the participants, with notable instances of AI technology adoption being reported. Nurses have the perception that there are favorable effects on time management, patient monitoring, and clinical decision-making. However, they continue to face persistent hurdles, including insufficient training, concerns regarding data privacy, and technical difficulties.</p><p><strong>Discussion: </strong>The study highlights the significance of thorough training programs and supportive mechanisms to improve nurses' involvement with AI technologies and maximize their use in critical care environments. Although there are differing degrees of contentment with existing AI systems, there is a general agreement on the necessity of ongoing enhancement and fine-tuning to optimize their efficacy in enhancing patient care results.</p><p><strong>Conclusion and implications for nursing and/or health policy: </strong>This research provides essential knowledge about the intricacies of incorporating AI into nursing practice, highlighting the significance of tackling obstacles to guarantee the ethical and efficient use of AI technology in healthcare.</p>","PeriodicalId":54931,"journal":{"name":"International Nursing Review","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of AI-based decision support systems on nursing workflows in critical care units.\",\"authors\":\"Wesam Taher Almagharbeh\",\"doi\":\"10.1111/inr.13011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>This research examines the effects of artificial intelligence (AI)-based decision support systems (DSS) on the operational processes of nurses in critical care units (CCU) located in Amman, Jordan.</p><p><strong>Background: </strong>The deployment of AI technology within the healthcare sector presents substantial opportunities for transforming patient care, with a particular emphasis on the field of nursing.</p><p><strong>Method: </strong>This paper examines how AI-based DSS affect CCU nursing workflows in Amman, Jordan, using a cross-sectional analysis. 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引用次数: 0
摘要
目的：本研究探讨了基于人工智能（AI）的决策支持系统（DSS）对约旦安曼重症监护室（CCU）护士操作流程的影响：背景：人工智能技术在医疗保健领域的应用为改变病人护理带来了巨大机遇，尤其是在护理领域：本文通过横断面分析，探讨了基于人工智能的 DSS 如何影响约旦安曼 CCU 的护理工作流程。研究小组由 112 名注册护士组成，研究时间跨度为一个月。通过调查收集数据，具体考察了护理工作流程的几个方面、人工智能的应用、遇到的问题以及培训的充分性：结果：研究结果表明，参与者的人口构成各不相同，其中不乏采用人工智能技术的案例。护士们认为，人工智能对时间管理、病人监控和临床决策都有良好的影响。然而，他们仍然面临着持续的障碍，包括培训不足、对数据隐私的担忧以及技术上的困难：本研究强调了全面培训计划和支持机制对于提高护士对人工智能技术的参与度并最大限度地将其应用于重症监护环境的重要性。尽管对现有人工智能系统的满意程度各不相同，但人们普遍认为有必要对其进行持续改进和微调，以优化其在提高患者护理效果方面的功效：本研究提供了将人工智能融入护理实践的复杂性的基本知识，强调了克服障碍以确保在医疗保健领域合乎道德并高效使用人工智能技术的重要性。
The impact of AI-based decision support systems on nursing workflows in critical care units.
Aim: This research examines the effects of artificial intelligence (AI)-based decision support systems (DSS) on the operational processes of nurses in critical care units (CCU) located in Amman, Jordan.
Background: The deployment of AI technology within the healthcare sector presents substantial opportunities for transforming patient care, with a particular emphasis on the field of nursing.
Method: This paper examines how AI-based DSS affect CCU nursing workflows in Amman, Jordan, using a cross-sectional analysis. A study group of 112 registered nurses was enlisted throughout a research period spanning one month. Data were gathered using surveys that specifically examined several facets of nursing workflows, the employment of AI, encountered problems, and the sufficiency of training.
Result: The findings indicate a varied demographic composition among the participants, with notable instances of AI technology adoption being reported. Nurses have the perception that there are favorable effects on time management, patient monitoring, and clinical decision-making. However, they continue to face persistent hurdles, including insufficient training, concerns regarding data privacy, and technical difficulties.
Discussion: The study highlights the significance of thorough training programs and supportive mechanisms to improve nurses' involvement with AI technologies and maximize their use in critical care environments. Although there are differing degrees of contentment with existing AI systems, there is a general agreement on the necessity of ongoing enhancement and fine-tuning to optimize their efficacy in enhancing patient care results.
Conclusion and implications for nursing and/or health policy: This research provides essential knowledge about the intricacies of incorporating AI into nursing practice, highlighting the significance of tackling obstacles to guarantee the ethical and efficient use of AI technology in healthcare.
期刊介绍：
International Nursing Review is a key resource for nurses world-wide. Articles are encouraged that reflect the ICN"s five key values: flexibility, inclusiveness, partnership, achievement and visionary leadership. Authors are encouraged to identify the relevance of local issues for the global community and to describe their work and to document their experience.
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