Elizabeth A Johnson, Katherine M Dudding, Jane M Carrington
{"title":"When to err is inhuman: An examination of the influence of artificial intelligence-driven nursing care on patient safety.","authors":"Elizabeth A Johnson, Katherine M Dudding, Jane M Carrington","doi":"10.1111/nin.12583","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence, as a nonhuman entity, is increasingly used to inform, direct, or supplant nursing care and clinical decision-making. The boundaries between human- and nonhuman-driven nursing care are blurred with the advent of sensors, wearables, camera devices, and humanoid robots at such an accelerated pace that the critical evaluation of its influence on patient safety has not been fully assessed. Since the pivotal release of To Err is Human, patient safety is being challenged by the dynamic healthcare environment like never before, with nursing at a critical juncture to steer the course of artificial intelligence integration in clinical decision-making. This paper presents an overview of artificial intelligence and its application in healthcare and highlights the implications which affect nursing as a profession, including perspectives on nursing education and training recommendations. The legal and policy challenges which emerge when artificial intelligence influences the risk of clinical errors and safety issues are discussed.</p>","PeriodicalId":49727,"journal":{"name":"Nursing Inquiry","volume":" ","pages":"e12583"},"PeriodicalIF":2.2000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing Inquiry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/nin.12583","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/7/17 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence, as a nonhuman entity, is increasingly used to inform, direct, or supplant nursing care and clinical decision-making. The boundaries between human- and nonhuman-driven nursing care are blurred with the advent of sensors, wearables, camera devices, and humanoid robots at such an accelerated pace that the critical evaluation of its influence on patient safety has not been fully assessed. Since the pivotal release of To Err is Human, patient safety is being challenged by the dynamic healthcare environment like never before, with nursing at a critical juncture to steer the course of artificial intelligence integration in clinical decision-making. This paper presents an overview of artificial intelligence and its application in healthcare and highlights the implications which affect nursing as a profession, including perspectives on nursing education and training recommendations. The legal and policy challenges which emerge when artificial intelligence influences the risk of clinical errors and safety issues are discussed.
人工智能作为一种非人类实体，越来越多地被用于指导、引导或取代护理工作和临床决策。随着传感器、可穿戴设备、摄像设备和仿人机器人的出现，人类和非人类驱动的护理之间的界限变得越来越模糊，其对患者安全的影响尚未得到全面评估。自《To Err is Human》一书发布以来，患者安全正受到动态医疗环境前所未有的挑战，护理工作正处于关键时刻，需要引导人工智能与临床决策的结合。本文概述了人工智能及其在医疗保健领域的应用，并强调了人工智能对护理行业的影响，包括对护理教育和培训建议的看法。本文还讨论了当人工智能影响临床错误风险和安全问题时出现的法律和政策挑战。
期刊介绍：
Nursing Inquiry aims to stimulate examination of nursing''s current and emerging practices, conditions and contexts within an expanding international community of ideas.
The journal aspires to excite thinking and stimulate action toward a preferred future for health and healthcare by encouraging critical reflection and lively debate on matters affecting and influenced by nursing from a range of disciplinary angles, scientific perspectives, analytic approaches, social locations and philosophical positions.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
