{"title":"护理机器人可以减少普通成人病房的护理工作量：一项两阶段研究","authors":"Yulei Song, Jiaojiao Gao, Yuqing Chen, Jiarui Shi, Xueqing Zhang, Dan Luo, Mengmeng Wang, Ye Wang, Qiongqiong Zang, Zhiyi Pei, Yamei Bai, Guihua Xu","doi":"10.1155/jonm/9096837","DOIUrl":null,"url":null,"abstract":"<div>\n <p><b>Aim:</b> This study aims to ascertain the range of nursing care tasks that can be performed by currently available nursing robots in general adult wards, as well as to quantify the extent to which these robots can potentially replace the nursing care workload when implemented.</p>\n <p><b>Background:</b> The global shortage of nurses has emerged as a significant societal issue, and nursing robots may be a potential solution to alleviate this crisis. However, there is a dearth of empirical evidence regarding the specific tasks that nursing robots can effectively replace in general adult wards within hospitals and lacking comprehensive reports that quantify how much nursing workload can be reduced by nursing robots.</p>\n <p><b>Methods:</b> This research utilizes a two-phase research design with a scoping review and cross-sectional survey, involving the searching and screening of 10 scientific databases to identify nursing robots suitable for deployment in general adult wards within hospital settings. Additionally, the study measures the 24 h nursing workload for all patients across 72 wards in six hospitals located in eastern, central, and western regions of China.</p>\n <p><b>Results:</b> 199 studies were included in this scoping review. A total of 26 nursing functions that can be performed by nursing robots in general adult wards were summarized. 7073 hospitalized patients were included in this study. 26 nursing robots have the potential to substitute for 62.37% of the total nursing workload per capita.</p>\n <p><b>Conclusions:</b> The use of nursing robots in general adult wards is promising. However, it is worth noting that while nursing programs with the largest share of nursing workload already have nursing robots in use, there are some robots whose development focus and direction need to be adapted to the needs of the clinical nursing workload.</p>\n <p><b>Implications for Nursing Management:</b> It is imperative for nursing managers to receive training in order to increase their understanding of robotic nurses and to explore effective and optimized models for managing nursing human resources when robots and nurses collaborate. Simultaneously, the definition and development of core competencies for robotic specialized nurses need to be on the agenda.</p>\n </div>","PeriodicalId":49297,"journal":{"name":"Journal of Nursing Management","volume":"2025 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/jonm/9096837","citationCount":"0","resultStr":"{\"title\":\"Nursing Robots Can Reduce Nursing Workload in General Adult Wards: A Two-Phase Study\",\"authors\":\"Yulei Song, Jiaojiao Gao, Yuqing Chen, Jiarui Shi, Xueqing Zhang, Dan Luo, Mengmeng Wang, Ye Wang, Qiongqiong Zang, Zhiyi Pei, Yamei Bai, Guihua Xu\",\"doi\":\"10.1155/jonm/9096837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p><b>Aim:</b> This study aims to ascertain the range of nursing care tasks that can be performed by currently available nursing robots in general adult wards, as well as to quantify the extent to which these robots can potentially replace the nursing care workload when implemented.</p>\\n <p><b>Background:</b> The global shortage of nurses has emerged as a significant societal issue, and nursing robots may be a potential solution to alleviate this crisis. However, there is a dearth of empirical evidence regarding the specific tasks that nursing robots can effectively replace in general adult wards within hospitals and lacking comprehensive reports that quantify how much nursing workload can be reduced by nursing robots.</p>\\n <p><b>Methods:</b> This research utilizes a two-phase research design with a scoping review and cross-sectional survey, involving the searching and screening of 10 scientific databases to identify nursing robots suitable for deployment in general adult wards within hospital settings. Additionally, the study measures the 24 h nursing workload for all patients across 72 wards in six hospitals located in eastern, central, and western regions of China.</p>\\n <p><b>Results:</b> 199 studies were included in this scoping review. A total of 26 nursing functions that can be performed by nursing robots in general adult wards were summarized. 7073 hospitalized patients were included in this study. 26 nursing robots have the potential to substitute for 62.37% of the total nursing workload per capita.</p>\\n <p><b>Conclusions:</b> The use of nursing robots in general adult wards is promising. However, it is worth noting that while nursing programs with the largest share of nursing workload already have nursing robots in use, there are some robots whose development focus and direction need to be adapted to the needs of the clinical nursing workload.</p>\\n <p><b>Implications for Nursing Management:</b> It is imperative for nursing managers to receive training in order to increase their understanding of robotic nurses and to explore effective and optimized models for managing nursing human resources when robots and nurses collaborate. Simultaneously, the definition and development of core competencies for robotic specialized nurses need to be on the agenda.</p>\\n </div>\",\"PeriodicalId\":49297,\"journal\":{\"name\":\"Journal of Nursing Management\",\"volume\":\"2025 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/jonm/9096837\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nursing Management\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/jonm/9096837\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nursing Management","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/jonm/9096837","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
Nursing Robots Can Reduce Nursing Workload in General Adult Wards: A Two-Phase Study
Aim: This study aims to ascertain the range of nursing care tasks that can be performed by currently available nursing robots in general adult wards, as well as to quantify the extent to which these robots can potentially replace the nursing care workload when implemented.
Background: The global shortage of nurses has emerged as a significant societal issue, and nursing robots may be a potential solution to alleviate this crisis. However, there is a dearth of empirical evidence regarding the specific tasks that nursing robots can effectively replace in general adult wards within hospitals and lacking comprehensive reports that quantify how much nursing workload can be reduced by nursing robots.
Methods: This research utilizes a two-phase research design with a scoping review and cross-sectional survey, involving the searching and screening of 10 scientific databases to identify nursing robots suitable for deployment in general adult wards within hospital settings. Additionally, the study measures the 24 h nursing workload for all patients across 72 wards in six hospitals located in eastern, central, and western regions of China.
Results: 199 studies were included in this scoping review. A total of 26 nursing functions that can be performed by nursing robots in general adult wards were summarized. 7073 hospitalized patients were included in this study. 26 nursing robots have the potential to substitute for 62.37% of the total nursing workload per capita.
Conclusions: The use of nursing robots in general adult wards is promising. However, it is worth noting that while nursing programs with the largest share of nursing workload already have nursing robots in use, there are some robots whose development focus and direction need to be adapted to the needs of the clinical nursing workload.
Implications for Nursing Management: It is imperative for nursing managers to receive training in order to increase their understanding of robotic nurses and to explore effective and optimized models for managing nursing human resources when robots and nurses collaborate. Simultaneously, the definition and development of core competencies for robotic specialized nurses need to be on the agenda.
期刊介绍：
The Journal of Nursing Management is an international forum which informs and advances the discipline of nursing management and leadership. The Journal encourages scholarly debate and critical analysis resulting in a rich source of evidence which underpins and illuminates the practice of management, innovation and leadership in nursing and health care. It publishes current issues and developments in practice in the form of research papers, in-depth commentaries and analyses.
The complex and rapidly changing nature of global health care is constantly generating new challenges and questions. The Journal of Nursing Management welcomes papers from researchers, academics, practitioners, managers, and policy makers from a range of countries and backgrounds which examine these issues and contribute to the body of knowledge in international nursing management and leadership worldwide.
The Journal of Nursing Management aims to:
-Inform practitioners and researchers in nursing management and leadership
-Explore and debate current issues in nursing management and leadership
-Assess the evidence for current practice
-Develop best practice in nursing management and leadership
-Examine the impact of policy developments
-Address issues in governance, quality and safety
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