人工智能对护理领域的预测影响:范围审查。

JMIR nursing Pub Date : 2020-12-17 DOI:10.2196/23939
Christine Buchanan, M Lyndsay Howitt, Rita Wilson, Richard G Booth, Tracie Risling, Megan Bamford
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引用次数: 0

摘要

背景:人工智能(AI)将改变医疗系统,但迄今为止,很少有研究探讨其对护士--最大的医疗专业群体--的影响。此外,关于人工智能将如何影响患者、家属和护理人员以人为本的爱心护理体验的讨论也很少:本综述旨在总结有关人工智能驱动的健康技术的新兴趋势及其对以下护理领域的影响的现有文献:管理、临床实践、政策和研究。本综述总结了 3 个研究问题的结果,探讨了这些新兴趋势在未来 10 年及以后可能如何影响护士的角色和职能以及体恤护理:采用既定的范围综述方法,检索了 MEDLINE、CINAHL、EMBASE、PsycINFO、Cochrane 系统综述数据库、Cochrane Central、教育资源信息中心、Scopus、Web of Science 和 ProQuest 数据库。除电子数据库检索外,还进行了有针对性的网站检索,以获取相关灰色文献。摘要和研究全文由两名审稿人按照预先规定的纳入和排除标准进行独立筛选。纳入的文章主要集中在结合了人工智能的护理和数字医疗技术方面。使用结构化表格记录数据并进行叙述性总结:针对本手稿关注的 3 个研究问题进行的范围界定审查共检索到 131 篇文章(其中 118 篇来自数据库,13 篇来自目标网站)。综述中讨论的新兴人工智能技术包括预测分析、智能家居、虚拟医疗助手和机器人。研究结果表明,人工智能已经开始影响护理角色、工作流程和护患关系。一般来说,机器人并不被视为护士的替代品。人们一致认为,由人工智能驱动的健康技术有可能提升护理实践。因此,护士必须积极主动地确定如何在人工智能时代保持以人为本的爱心护理:护士有共同的责任影响与将人工智能融入医疗系统相关的决策,并确保以符合道德规范、与仁爱护理等核心护理价值观相一致的方式引入这一变革。此外,护士必须倡导患者和护理人员参与这些技术的设计、实施和评估的各个方面:RR2-10.2196/17490。
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Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review.

Background: Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses-the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compassionate care for patients, families, and caregivers.

Objective: This review aims to summarize the extant literature on the emerging trends in health technologies powered by AI and their implications on the following domains of nursing: administration, clinical practice, policy, and research. This review summarizes the findings from 3 research questions, examining how these emerging trends might influence the roles and functions of nurses and compassionate nursing care over the next 10 years and beyond.

Methods: Using an established scoping review methodology, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Center, Scopus, Web of Science, and ProQuest databases were searched. In addition to the electronic database searches, a targeted website search was performed to access relevant gray literature. Abstracts and full-text studies were independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included articles focused on nursing and digital health technologies that incorporate AI. Data were charted using structured forms and narratively summarized.

Results: A total of 131 articles were retrieved from the scoping review for the 3 research questions that were the focus of this manuscript (118 from database sources and 13 from targeted websites). Emerging AI technologies discussed in the review included predictive analytics, smart homes, virtual health care assistants, and robots. The results indicated that AI has already begun to influence nursing roles, workflows, and the nurse-patient relationship. In general, robots are not viewed as replacements for nurses. There is a consensus that health technologies powered by AI may have the potential to enhance nursing practice. Consequently, nurses must proactively define how person-centered compassionate care will be preserved in the age of AI.

Conclusions: Nurses have a shared responsibility to influence decisions related to the integration of AI into the health system and to ensure that this change is introduced in a way that is ethical and aligns with core nursing values such as compassionate care. Furthermore, nurses must advocate for patient and nursing involvement in all aspects of the design, implementation, and evaluation of these technologies.

International registered report identifier (irrid): RR2-10.2196/17490.

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