Abstract：
BACKGROUND: Artificial intelligence (AI) is emerging in healthcare in various forms, including AI-based clinical decision support systems, machine learning, computer vision, natural language processing, big data analytics and AI-enhanced robotics. Given their potential impact on clinical processes and decision-making, AI-based health technologies (AIHT) are now seen to have a transformative effect on the nursing and medical professions, and on advanced nursing practice in particular.
OBJECTIVE: While nurse practitioners (NPs) are increasingly called upon to play a crucial role in improving the healthcare provided to the population, little is known about the nature, extent and outcomes of their involvement and experience with AIHT. This study\'s research objectives are twofold. First, it aims to characterize NPs\' involvement and experience with AIHT in terms of the functional and clinical attributes of the AIHT-based systems and applications that have emerged in advanced nursing care settings, and of the clinical tasks of NPs targeted for support by these systems and applications. Second, it aims to characterize this involvement and experience with AIHT in terms of its expected impacts on the clinical activities and performance of NPs, and of its potential outcomes for NPs\' patients and for the general population.
METHODS: We thus contribute to advanced practice nursing research by carrying out an initial evaluation of the role played by NPs in the emergence of these technologies, by means of a systematic review of the literature.
RESULTS: This review demonstrates that NPs, acting alone or in collaboration with physicians and other healthcare professionals, participate in the development and evaluation of various AI-based decision-making and predictive tools in primary, hospital and emergency care settings. This participation involves NPs as diagnostic and therapeutic experts whose clinical activities, decision-making and performance can be significantly impacted by their adoption and assimilation of AIHT.
OBJECTIVE: While nurse practitioners (NPs) are increasingly called upon to play a crucial role in improving the healthcare provided to the population, little is known about the nature, extent and outcomes of their involvement and experience with AIHT. This study\'s research objectives are twofold. First, it aims to characterize NPs\' involvement and experience with AIHT in terms of the functional and clinical attributes of the AIHT-based systems and applications that have emerged in advanced nursing care settings, and of the clinical tasks of NPs targeted for support by these systems and applications. Second, it aims to characterize this involvement and experience with AIHT in terms of its expected impacts on the clinical activities and performance of NPs, and of its potential outcomes for NPs\' patients and for the general population.
METHODS: We thus contribute to advanced practice nursing research by carrying out an initial evaluation of the role played by NPs in the emergence of these technologies, by means of a systematic review of the literature.
RESULTS: This review demonstrates that NPs, acting alone or in collaboration with physicians and other healthcare professionals, participate in the development and evaluation of various AI-based decision-making and predictive tools in primary, hospital and emergency care settings. This participation involves NPs as diagnostic and therapeutic experts whose clinical activities, decision-making and performance can be significantly impacted by their adoption and assimilation of AIHT.
摘要：
人工智能（AI）正在以各种形式出现在医疗保健中，包括基于人工智能的临床决策支持系统，机器学习,计算机视觉,自然语言处理，大数据分析和AI增强的机器人技术。鉴于它们对临床过程和决策的潜在影响，基于人工智能的健康技术(AIHT)现在被认为对护理和医疗行业产生了变革性的影响。特别是先进的护理实践。
虽然越来越多地要求执业护士（NPs）在改善向民众提供的医疗保健方面发挥关键作用，对大自然知之甚少，他们参与AIHT的程度和结果和经验。本研究的研究目标是双重的。首先,它旨在根据先进护理环境中出现的基于AIHT的系统和应用的功能和临床属性来描述NPs对AIHT的参与和经验。以及这些系统和应用程序支持的NPs的临床任务。第二,它旨在根据对NPs临床活动和性能的预期影响来描述AIHT的参与和经验，及其对NPs患者和普通人群的潜在结果。
因此，我们通过对NPs在这些技术的出现中所起的作用进行初步评估，为高级实践护理研究做出贡献。通过对文献的系统回顾。
这篇综述表明，NP，单独行动或与医生和其他医疗保健专业人员合作，参与各种基于人工智能的决策和预测工具的开发和评估，医院和急诊护理设置。这种参与涉及NPs作为诊断和治疗专家，其临床活动，AIHT的采用和同化会对决策和绩效产生重大影响。
虽然越来越多地要求执业护士（NPs）在改善向民众提供的医疗保健方面发挥关键作用，对大自然知之甚少，他们参与AIHT的程度和结果和经验。本研究的研究目标是双重的。首先,它旨在根据先进护理环境中出现的基于AIHT的系统和应用的功能和临床属性来描述NPs对AIHT的参与和经验。以及这些系统和应用程序支持的NPs的临床任务。第二,它旨在根据对NPs临床活动和性能的预期影响来描述AIHT的参与和经验，及其对NPs患者和普通人群的潜在结果。
因此，我们通过对NPs在这些技术的出现中所起的作用进行初步评估，为高级实践护理研究做出贡献。通过对文献的系统回顾。
这篇综述表明，NP，单独行动或与医生和其他医疗保健专业人员合作，参与各种基于人工智能的决策和预测工具的开发和评估，医院和急诊护理设置。这种参与涉及NPs作为诊断和治疗专家，其临床活动，AIHT的采用和同化会对决策和绩效产生重大影响。
