关于在护理实践中使用机器人的标准、指南、政策和法规的灰色文献综述

IF 4.2 4区 医学 Q1 NURSING
Aminat Adeyemo MSc, BNSc, Alice Coffey PhD, MEd, BA, Liz Kingston FFNMRCSI, PhD, MSc, BSc, PG Dip Ed
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引用次数: 0

摘要

背景:将机器人等新兴技术整合到护理实践中,标志着医疗保健领域的关键转变,旨在加强服务提供和提高患者护理效率。能够支持护士提供护理的机器人代表了人工智能、机器学习和工程技术进步的协同作用。然而,这一发展需要对现有文献(包括灰色文献)进行评估,以充分了解其含义。目的:评估和综合现有的关于护理实践中使用机器人的标准、指南、政策或法规的国际文献。方法:采用灰色文献检索策略逻辑模型进行文献综述。对27个数据库和已确定的站点进行彻底的灰色文献检索,并使用预定的纳入和排除标准筛选得到的文献。所有纳入的文献都使用廷德尔的标准化评估清单进行批判性评估。结果:没有发现专门与护理实践中机器人使用相关的指南、标准或政策。然而,与人工智能有关的五份文件被认为有资格纳入审查;这五份文件发表于2014年至2021年之间。综合文件强调需要制定政策、指导方针和法规来指导机器人在医疗保健环境中的使用,以确保用户信任和医疗保健系统的安全性和有效性。结论:机器人技术在护理领域的快速应用带来了法律和道德上的挑战,这些挑战应该通过新的和现有的监管机构来解决,并通过调整现有的法规。护士需要为制定这些指导方针做出贡献,确保机器人技术的进步提高而不是损害患者护理的质量。护理专业也必须参与这一讨论,以确保机器人的整合与护理的核心原则保持一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Grey Literature on Standards, Guidelines, Policies, and Regulations Regarding the Use of Robots in Nursing Practice
Background: The integration of emerging technologies such as robotics into nursing practice marks a pivotal shift in healthcare that aims to enhance service delivery and improve patient care efficiency. Robots that are capable of supporting nurses in delivering care represent a synergy of advancements in artificial intelligence, machine learning, and engineering. However, this development necessitates an evaluation of the existing literature, including grey literature, to fully understand its implications.
Purpose: To assess and synthesize available international literature on standards, guidelines, policies, or regulations on the use of robotics in nursing practice.
Methods: The Grey Literature Search Strategy Logic Model was adopted to conduct the literature review. Twenty-seven databases and identified sites were thoroughly searched for relevant grey literature, and the resulting literature was screened using predetermined inclusion and exclusion criteria. All included literature was critically appraised using Tyndall’s standardized appraisal checklist.
Results: No guidelines, standards, or policies were found that related specifically to the use of robots in nursing practice. However, five documents that pertained to artificial intelligence were deemed eligible for inclusion in the review; these five documents were published between 2014 and 2021. The synthesized documents emphasized the need for policies, guidelines, and regulations to guide robot use in healthcare settings to ensure user trust and the healthcare systems’ safety and efficacy.
Conclusions: The rapid adoption of robotics in nursing presents legal and ethical challenges that should be addressed through new and existing regulatory bodies and by adapting existing regulations. There is a need for nurses to contribute to shaping these guidelines, ensuring that advancements in robotics enhance rather than compromise the quality of patient care. The nursing profession must also engage in this discourse to ensure that the integration of robotics aligns with the core tenets of nursing care.
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来源期刊
CiteScore
4.60
自引率
12.50%
发文量
50
审稿时长
54 days
期刊介绍: Journal of Nursing Regulation (JNR), the official journal of the National Council of State Boards of Nursing (NCSBN®), is a quarterly, peer-reviewed, academic and professional journal. It publishes scholarly articles that advance the science of nursing regulation, promote the mission and vision of NCSBN, and enhance communication and collaboration among nurse regulators, educators, practitioners, and the scientific community. The journal supports evidence-based regulation, addresses issues related to patient safety, and highlights current nursing regulatory issues, programs, and projects in both the United States and the international community. In publishing JNR, NCSBN''s goal is to develop and share knowledge related to nursing and other healthcare regulation across continents and to promote a greater awareness of regulatory issues among all nurses.
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