Using an AI-Powered Solution to Transform Nursing Workflow and Improve Inpatient Care: A Retrospective Observational Study.

IF 2.5 4区 医学 Q1 NURSING
American Journal of Nursing Pub Date : 2025-05-01 Epub Date: 2025-04-24 DOI:10.1097/AJN.0000000000000070
Luana Llagostera Sillano Gentil, Vanessa Aparecida Luz Pires, Jéssica Andrade-Silva, Youri Eliphas Almeida, Paulo Gurgel Pinheiro, Claudio Gurgel Pinheiro, Claudia Regina Laselva
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引用次数: 0

Abstract

Background: Nurses face an escalating workload, including tasks not directly related to patient care, such as responding to patients' requests for water or extra blankets, and adjusting room conditions like air conditioning, which can contribute to burnout and pose potential risks for both professionals and patients.

Purpose: We aimed to evaluate an artificial intelligence (AI)-driven technology that automates patient requests and directs them to the appropriate teams in other departments instead of to the nurses' station, thereby eliminating the need for nursing intervention.

Methods: This retrospective observational study, conducted in the surgical clinic of a large hospital over 30 days, examined data gathered from patients occupying 16 beds (as our focus was on the volume and type of patient requests generated per bed rather than per patient, patient turnover did not affect the study). During this period, the AI-driven platform, known as Neonpass Room, was implemented in addition to the traditional bell-activation request system.

Results: During the 30-day implementation of Neonpass Room, 2,113 requests were recorded, mostly from patients, and the AI-powered system directed 35.4% of those requests, which required clinical attention, to the nursing staff. The remaining requests were routed to other appropriate teams, such as housekeeping or maintenance, according to the nature of the requests. Among the top 10 most frequent request types, only two were explicitly directed to the nursing team: "check IV fluids" and "support with restroom use." The AI platform also measured the response times among the various departments (the nursing team had the shortest response time and the cleaning staff the longest) and enabled the visualization of patterns in patient-initiated requests by request type over a 24-hour period. The AI solution effectively reduced the nursing team's workload by nearly three out of five patient requests, resulting in considerable time savings for nurses.

Conclusion: Neonpass Room allowed the nursing staff to improve their focus on patient care by optimizing task delegation. Once integrated into the hospital's operations, an AI-driven platform like Neonpass Room would provide managers with valuable strategic insights into the allocation of hospital services.

使用人工智能解决方案改变护理工作流程并改善住院患者护理:一项回顾性观察研究。
背景:护士面临着不断增加的工作量,包括与病人护理没有直接关系的任务,例如响应病人的用水或额外毯子的要求,以及调整房间条件(如空调),这可能会导致倦怠,并对专业人员和病人都构成潜在风险。目的:我们旨在评估一种人工智能(AI)驱动的技术,该技术可以自动处理患者的请求,并将其引导到其他科室的适当团队,而不是护士站,从而消除护理干预的需要。方法:这项回顾性观察性研究在一家大型医院的外科诊所进行了30天的研究,检查了从占用16张床位的患者收集的数据(由于我们的重点是每张床位产生的患者请求的数量和类型,而不是每个患者,因此患者周转不影响研究)。在此期间,除了传统的钟激活请求系统外,还实施了人工智能驱动平台Neonpass Room。结果:在实施Neonpass Room的30天内,记录了2113个请求,其中大部分来自患者,人工智能驱动的系统将35.4%需要临床关注的请求定向给了护理人员。根据请求的性质,其余的请求被路由到其他适当的团队,例如内务或维护。在最常见的10种请求类型中,只有两种明确指向护理团队:“检查静脉输液”和“支持使用洗手间”。人工智能平台还测量了各个部门之间的响应时间(护理团队的响应时间最短,清洁人员的响应时间最长),并在24小时内按请求类型可视化患者发起的请求的模式。人工智能解决方案有效地将护理团队的工作量减少了近五分之三的患者请求,从而为护士节省了大量时间。结论:Neonpass Room通过优化任务分配,提高了护理人员对患者护理的关注度。一旦整合到医院的运营中,像Neonpass Room这样的人工智能驱动平台将为管理人员提供有关医院服务分配的宝贵战略见解。
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来源期刊
CiteScore
1.10
自引率
3.70%
发文量
604
审稿时长
6-12 weeks
期刊介绍: The American Journal of Nursing is the oldest and most honored broad-based nursing journal in the world. Peer reviewed and evidence-based, it is considered the profession’s premier journal. AJN adheres to journalistic standards that require transparency of real and potential conflicts of interests that authors,editors and reviewers may have. It follows publishing standards set by the International Committee of Medical Journal Editors (ICMJE; www.icmje.org), the World Association of Medical Editors (WAME; www.wame.org), and the Committee on Publication Ethics (COPE; http://publicationethics.org/). AJN welcomes submissions of evidence-based clinical application papers and descriptions of best clinical practices, original research and QI reports, case studies, narratives, commentaries, and other manuscripts on a variety of clinical and professional topics. The journal also welcomes submissions for its various departments and columns, including artwork and poetry that is relevant to nursing or health care. Guidelines on writing for specific departments—Art of Nursing, Viewpoint, Policy and Politics, and Reflections—are available at http://AJN.edmgr.com. AJN''s mission is to promote excellence in nursing and health care through the dissemination of evidence-based, peer-reviewed clinical information and original research, discussion of relevant and controversial professional issues, adherence to the standards of journalistic integrity and excellence, and promotion of nursing perspectives to the health care community and the public.
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