Joseph Andrew Pepito, Neilan John Acaso, Rommel Merioles, Judith Ismael
{"title":"护理实践中自动化整合的机遇、挑战和未来方向：话语研究。","authors":"Joseph Andrew Pepito, Neilan John Acaso, Rommel Merioles, Judith Ismael","doi":"10.2196/72674","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Global health care systems are under increasing strain due to aging populations, workforce shortages, and rising patient complexity. In response, automation technologies are being explored as a means to optimize nursing workflows, reduce burdens, and improve patient outcomes. However, the integration of such technologies raises complex ethical, legal, and professional considerations that remain insufficiently addressed in current literature.</p><p><strong>Objective: </strong>This study aims to critically examine the integration of automation into nursing practice through a discursive analysis. Specifically, it seeks to (1) identify nursing tasks most amenable to automation; (2) evaluate the benefits and drawbacks of automating these tasks; (3) explore ethical and legal implications; (4) propose strategies for ethical and equitable integration; and (5) outline future directions for research, practice, and policy.</p><p><strong>Methods: </strong>An integrative review and conceptual analysis were conducted, grounded in sociotechnical systems theory and the ethics of care. A structured search across PubMed, CINAHL, Scopus, Web of Science, and JMIR Publications identified 73 peer-reviewed papers published between 2019 and 2025. Thematic synthesis was performed to identify key domains relevant to automation in nursing.</p><p><strong>Results: </strong>Five major categories of automatable nursing tasks were identified: administrative documentation, medication management, patient monitoring, infection control, and mobility support. Automation in these areas was associated with improved efficiency, enhanced patient safety, and reduced physical and cognitive workload for nurses. Nevertheless, challenges such as deskilling, dehumanization of care, inequitable access, and unclear legal accountability were prominent. The study proposes the Integration of Automation Technologies in Nursing Practice Conceptual Framework.</p><p><strong>Conclusions: </strong>The ethical integration of automation into nursing practice requires more than technological readiness; it demands policy development, targeted education, and inclusive governance. When guided by professional values and human-centered design, automation can complement nursing practice and improve care delivery. Future research should prioritize longitudinal impact assessments, legal clarity, and equitable infrastructure investment to support sustainable adoption.</p>","PeriodicalId":73556,"journal":{"name":"JMIR nursing","volume":"8 ","pages":"e72674"},"PeriodicalIF":4.0000,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12352802/pdf/","citationCount":"0","resultStr":"{\"title\":\"Opportunities, Challenges, and Future Directions for the Integration of Automation in Nursing Practice: Discursive Study.\",\"authors\":\"Joseph Andrew Pepito, Neilan John Acaso, Rommel Merioles, Judith Ismael\",\"doi\":\"10.2196/72674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Global health care systems are under increasing strain due to aging populations, workforce shortages, and rising patient complexity. In response, automation technologies are being explored as a means to optimize nursing workflows, reduce burdens, and improve patient outcomes. However, the integration of such technologies raises complex ethical, legal, and professional considerations that remain insufficiently addressed in current literature.</p><p><strong>Objective: </strong>This study aims to critically examine the integration of automation into nursing practice through a discursive analysis. Specifically, it seeks to (1) identify nursing tasks most amenable to automation; (2) evaluate the benefits and drawbacks of automating these tasks; (3) explore ethical and legal implications; (4) propose strategies for ethical and equitable integration; and (5) outline future directions for research, practice, and policy.</p><p><strong>Methods: </strong>An integrative review and conceptual analysis were conducted, grounded in sociotechnical systems theory and the ethics of care. A structured search across PubMed, CINAHL, Scopus, Web of Science, and JMIR Publications identified 73 peer-reviewed papers published between 2019 and 2025. Thematic synthesis was performed to identify key domains relevant to automation in nursing.</p><p><strong>Results: </strong>Five major categories of automatable nursing tasks were identified: administrative documentation, medication management, patient monitoring, infection control, and mobility support. Automation in these areas was associated with improved efficiency, enhanced patient safety, and reduced physical and cognitive workload for nurses. Nevertheless, challenges such as deskilling, dehumanization of care, inequitable access, and unclear legal accountability were prominent. The study proposes the Integration of Automation Technologies in Nursing Practice Conceptual Framework.</p><p><strong>Conclusions: </strong>The ethical integration of automation into nursing practice requires more than technological readiness; it demands policy development, targeted education, and inclusive governance. When guided by professional values and human-centered design, automation can complement nursing practice and improve care delivery. Future research should prioritize longitudinal impact assessments, legal clarity, and equitable infrastructure investment to support sustainable adoption.</p>\",\"PeriodicalId\":73556,\"journal\":{\"name\":\"JMIR nursing\",\"volume\":\"8 \",\"pages\":\"e72674\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12352802/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JMIR nursing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2196/72674\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/72674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景：由于人口老龄化、劳动力短缺和患者复杂性上升，全球卫生保健系统正面临越来越大的压力。因此，人们正在探索自动化技术，将其作为优化护理工作流程、减轻负担和改善患者预后的手段。然而，这些技术的整合引起了复杂的伦理、法律和专业方面的考虑，这些在当前文献中仍然没有得到充分的解决。目的：本研究旨在通过话语分析批判性地考察自动化与护理实践的整合。具体来说，它寻求(1)确定最适合自动化的护理任务；(2)评估自动化这些任务的利弊；(3)探讨伦理和法律影响；(4)提出伦理与公平整合的策略；(5)概述未来的研究、实践和政策方向。方法：以社会技术系统理论和护理伦理为基础，进行综合回顾和概念分析。对PubMed、CINAHL、Scopus、Web of Science和JMIR Publications进行结构化搜索，确定了2019年至2025年间发表的73篇同行评议论文。进行主题综合以确定与护理自动化相关的关键领域。结果：确定了五大类自动化护理任务：行政文件、药物管理、患者监测、感染控制和活动支持。这些领域的自动化与提高效率、增强患者安全以及减少护士的身体和认知工作量有关。然而，诸如去技能化、护理非人性化、获取机会不公平和法律问责不明确等挑战依然突出。本研究提出了自动化技术在护理实践概念框架中的整合。结论：将自动化融入护理实践需要的不仅仅是技术准备；这需要政策制定、有针对性的教育和包容性治理。当以专业价值观和以人为本的设计为指导时，自动化可以补充护理实践并改善护理服务。未来的研究应优先考虑纵向影响评估、法律明确性和公平的基础设施投资，以支持可持续采用。
Opportunities, Challenges, and Future Directions for the Integration of Automation in Nursing Practice: Discursive Study.
Background: Global health care systems are under increasing strain due to aging populations, workforce shortages, and rising patient complexity. In response, automation technologies are being explored as a means to optimize nursing workflows, reduce burdens, and improve patient outcomes. However, the integration of such technologies raises complex ethical, legal, and professional considerations that remain insufficiently addressed in current literature.
Objective: This study aims to critically examine the integration of automation into nursing practice through a discursive analysis. Specifically, it seeks to (1) identify nursing tasks most amenable to automation; (2) evaluate the benefits and drawbacks of automating these tasks; (3) explore ethical and legal implications; (4) propose strategies for ethical and equitable integration; and (5) outline future directions for research, practice, and policy.
Methods: An integrative review and conceptual analysis were conducted, grounded in sociotechnical systems theory and the ethics of care. A structured search across PubMed, CINAHL, Scopus, Web of Science, and JMIR Publications identified 73 peer-reviewed papers published between 2019 and 2025. Thematic synthesis was performed to identify key domains relevant to automation in nursing.
Results: Five major categories of automatable nursing tasks were identified: administrative documentation, medication management, patient monitoring, infection control, and mobility support. Automation in these areas was associated with improved efficiency, enhanced patient safety, and reduced physical and cognitive workload for nurses. Nevertheless, challenges such as deskilling, dehumanization of care, inequitable access, and unclear legal accountability were prominent. The study proposes the Integration of Automation Technologies in Nursing Practice Conceptual Framework.
Conclusions: The ethical integration of automation into nursing practice requires more than technological readiness; it demands policy development, targeted education, and inclusive governance. When guided by professional values and human-centered design, automation can complement nursing practice and improve care delivery. Future research should prioritize longitudinal impact assessments, legal clarity, and equitable infrastructure investment to support sustainable adoption.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
