[1]史纪元,罗家音,王雪莲,等.国内外人工智能护理相关研究热点和趋势分析[J].军事护理,2023,40(07):16-19.[doi:10.3969/j.issn.2097-1826.2023.07.004]
 SHI Jiyuan,LUO Jiayin,WANG Xuelian,et al.Research Hotspots and Trends of Artificial Intelligence in Nursing at Home and Abroad[J].Nursing Journal Of Chinese People's Laberation Army,2023,40(07):16-19.[doi:10.3969/j.issn.2097-1826.2023.07.004]
点击复制

国内外人工智能护理相关研究热点和趋势分析
分享到:

《军事护理》[ISSN:2097-1826/CN:31-3186/R]

卷:
40
期数:
2023年07期
页码:
16-19
栏目:
智能护理专栏
出版日期:
2023-07-15

文章信息/Info

Title:
Research Hotspots and Trends of Artificial Intelligence in Nursing at Home and Abroad
文章编号:
2097-1826(2023)07-0016-04
作者:
史纪元1罗家音2王雪莲3高亚45田金徽4李峥1
(1.中国医学科学院北京协和医学院 护理学院,北京 100044; 2.国家老年医学中心北京医院 血管外科,北京 100044; 3.国家老年医学中心北京医院 护理部; 4.兰州大学 循证医学中心,甘肃 兰州 730000; 5.麦克马斯特大学 卫生研究方法证据与影响力系,加拿大 汉密尔顿 L8S4L8)
Author(s):
SHI Jiyuan1LUO Jiayin2WANG Xuelian3GAO Ya45TIAN Jinhui4LI Zheng1
(1.School of Nursing,Chinese Academy of Medical Sciences,Peking Union Medical College,Beijing 100044,China; 2.Department of Vascular Surgery,National Center of Gerontology,Beijing Hospital,Beijing 100044,China; 3.Department of Nursing,National Center of Gerontology,Beijing Hospital; 4.Evidence-Based Medicine Center,Lanzhou University,Lanzhou 730000,Gansu Province,China; 5.Department of Health Research Methods,Evidence and Impact,McMaster University,Hamilton,L8S4L8,Canada)
关键词:
人工智能 护理 文献计量学
Keywords:
artificial intelligence nursing bibliometrics
分类号:
R47-05
DOI:
10.3969/j.issn.2097-1826.2023.07.004
文献标志码:
A
摘要:
目的 分析国内外护理领域人工智能(artificial intelligence,AI)研究的热点和前沿,以期为我国相关研究的开展提供参考和支持。方法 系统检索Web of Science和中国知网数据库获取2002-2022年发表的AI护理研究和相关信息,并使用VOSviewer 1.6.17和Cite Space 5.8.R3软件进行可视化分析。结果 共检索到12 896篇相关论文,筛选后获得427篇护理领域相关的AI英文研究和179篇中文研究,英文研究热点为疾病风险预测、护理决策、护理管理、护理信息处理和护理诊断,中文研究热点为疾病风险预测、护理决策、护理信息处理和护理机器人的开发与应用。机器学习是近年来AI在护理领域最前沿、最热门的分支之一。结论 今后的护理AI研究应加强跨学科和国际间合作,拓展AI技术在护理领域的应用范围,提供更多高质量证据。
Abstract:
Objective To analyze the research hotspots and frontiers of artificial intelligence in nursing at home and abroad,so as to provide references and support for the development of relevant research in China.Methods The databases of Web of Science and CNKI were systematically searched for research and relevant information on artificial intelligence in nursing,which were published between 2002 and 2022.The softwares of VOSviewer 1.6.17 and Cite Space 5.8.R3 were used to conduct visualized analysis.Results A total of 12896 relevant articles were obtained,and 427 English articles and 179 Chinese articles on artificial intelligence in nursing were included after screening.Research hotspots of English articles focused on disease risk prediction,nursing decision-making,nursing management,nursing information processing and nursing diagnosis.Research hotspots of Chinese articles focused on disease risk prediction,nursing decision-making,nursing information processing and the development and application of nursing robots.Machine learning was one of the most advanced and popular branches of artificial intelligence in nursing in recent years.Conclusions Future research on artificial intelligence in nursing should strengthen interdisciplinary and international cooperation,further expand the application scope of artificial intelligence technology in nursing,and provide more high-quality evidence.

参考文献/References:

[1] HAMET P,TREMBLAY J.Artificial intelligence in medicine[J].Metabolism,2017,69(S):S36-S40.
[2] 王拥军,荆京.人工智能在神经医学领域应用的现状和展望[J].中华内科杂志,2018,57(10):697-699.
[3] XIANG Y,ZHAO L,LIU Z,et al.Implementation of artificial intelligence in medicine:status analysis and development suggestions[J/OL].[2019-12-18].https://www.sciencedirect.com/science/article/pii/S0933365719303100?via%3Dihub.DOI: 10.1016/j.artmed.2019.101780.
[4] NG Z Q,LING L Y,CHEW H S,et al.The role of artificial intelligence in enhancing clinical nursing care:a scoping review[J].J Nurs Manag,2022,30(8):3654-3674.
[5] 杜妍莹,董鼎辉,马锋,等.人工智能在护理领域的应用进展[J].解放军护理杂志,2019,36(4):58-61.
[6] SHI J Y,GAO Y,LIU M,et al.A bibliometric analysis of global research output on network meta-analysis[J].BMC Med Inform Decis Mak,2021,21(1):144-156.
[7] GAO Y,SHI S Z,MA W J,et al.Bibliometric analysis of global research on PD-1 and PD-L1 in the field of cancer[J].Int Immunopharmacol,2019,72(3):374-384.
[8] 史纪元,田金徽,高亚,等.人工智能临床研究文献科学计量学分析[J].协和医学杂志,2022,13(5):871-879.
[9] BURKE E K,CAUSMAECKER P D,VANDEN B G,et al.The state of the art of nurse rostering[J].J Scheduling,2004,7(6):441-499.
[10]SWANGNETR M.Emotional state classification in patient-robot interaction using wavelet analysis and statistics-based feature selection[J].IEEE T Hum-Mach Syst,2013,43(1):63-75.
[11]AICKELIN U,BURKE E K,LI J.An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering[J].J Oper Res Soc,2007,58(12):1574-1585.
[12]WONG A.Development and validation of an electronic health record-based machine learning model to estimate delirium risk in newly hospitalized patients without known cognitive impairment[J].JAMA Netw Open,2018,1(4):1018-1030.
[13]LEE S.Oscillometric blood pressure estimation based on deep learning[J].IEEE Trans Ind Inform,2017,13(2):461-472.
[14]ROJAS J.Predicting intensive care unit readmission with machine learning using electronic health record data[J].Ann Am Thoracic Society,2018(15):846-853.
[15]TODOROVIC N.Bee colony.optimization algorithm for nurse rostering[J].IEEE Trans Syst Man Cybern-Syst,2013,43(2):467-473.
[16]LEFLORE J.Can a virtual patient trainer teach student nurses how to save lives-teaching nursing students about pediatric respiratory diseases[J].Simul Healthc,2012,7(1):10-17.
[17]HEBESBERGER D.A long-term autonomous robot at a care hospital: a mixed methods study on social acceptance and experiences of staff and older adults[J].Int J Soc Robot,2017,9(3):417-429.
[18]HUNTER J,FREER Y,GATT A.Automatic generation of natural language nursing shift summaries in neonatal intensive care:BT-nurse[J].Artif Intell Med,2012,56(3):157-172.
[19]ALDERDEN J,PEPPER G A,WILSON A,et al.Predicting pressure injury in critical care patients:a machine-learning model[J].Am J Crit Care,2018,27(6):461-468.
[20]GALATZAN B J,CARRINGTON J M,GEPHART S.Testing the use of natural language processing software and content analysis to analyze nursing hand-off text data[J].Comput Inform Nurs,2021,39(8):411-417.

相似文献/References:

[1]曾纯,陆宇晗,马淑玲,等.复发难治性B细胞淋巴瘤患者95例行嵌合抗原受体T细胞治疗所致不良反应的护理[J].军事护理,2021,38(01):80.[doi:10.3969/j.issn.1008-9993.2021.01.021]
 ZENG Chun,LU Yuhan,MA Shuling,et al.Managing the Adverse Reactions of Chimeric Antigen Receptor T Cell Therapy for 95 Patients with Relapsed Refractory B-cell Lymphoma[J].Nursing Journal Of Chinese People's Laberation Army,2021,38(07):80.[doi:10.3969/j.issn.1008-9993.2021.01.021]
[2]徐佩丽,洪静芳,冯逢,等.新型约束指套的设计与应用效果评价[J].军事护理,2021,38(01):84.[doi:10.3969/j.issn.1008-9993.2021.01.022]
 XU Peili,HONG Jingfang,FENG Feng,et al.Design and Application Effect Evaluation of New Constraint Finger Set[J].Nursing Journal Of Chinese People's Laberation Army,2021,38(07):84.[doi:10.3969/j.issn.1008-9993.2021.01.022]
[3]刘盎,罗云,张欣,等.基于雨课堂的TBL教学法在护理本科生急诊临床教学中的应用[J].军事护理,2021,38(01):87.[doi:10.3969/j.issn.1008-9993.2021.01.023]
 LIU Ang,LUO Yun,ZHANG Xin,et al.Application of the Team-Based Learning Teaching Methods Based on Rain Classroom in the Clinical Teaching of Emergency Nursing for Nursing Undergraduates[J].Nursing Journal Of Chinese People's Laberation Army,2021,38(07):87.[doi:10.3969/j.issn.1008-9993.2021.01.023]
[4]程慧敏,张增梅,郭付有,等.动脉瘤夹车的设计与应用效果[J].军事护理,2021,38(03):81.[doi:10.3969/j.issn.1008-9993.2021.03.021]
[5]吴婵,李沪生,盛夏.前列腺穿刺活检术体位固定器的应用效果[J].军事护理,2021,38(03):84.[doi:10.3969/j.issn.1008-9993.2021.03.022]
[6]周璇,赵蕾.一例Sagliker综合征患者的护理[J].军事护理,2021,38(03):90.[doi:10.3969/j.issn.1008-9993.2021.03.024]
[7]汤诗恒,林璟珊,李晶晶,等.用户画像在国内外慢性病领域应用的范围综述[J].军事护理,2021,38(05):52.[doi:10.3969/j.issn.1008-9993.2021.05.014]
 TANG Shiheng,LIN Jingshan,LI Jingjing,et al.User Profile Application in Chronic Diseases: A Scoping Review[J].Nursing Journal Of Chinese People's Laberation Army,2021,38(07):52.[doi:10.3969/j.issn.1008-9993.2021.05.014]
[8]陈海丽,肖志田,叶敬花,等.青少年癫痫患儿过渡期护理需求的研究进展[J].军事护理,2021,38(05):71.[doi:10.3969/j.issn.1008-9993.2021.05.019]
[9]住院患者静脉血栓栓塞症预防护理与管理专家共识.住院患者静脉血栓栓塞症预防护理与管理专家共识[J].军事护理,2021,38(06):17.[doi:10.3969/j.issn.1008-9993.2021.06.005]
[10]陈灵熙,周云仙.运用扎根理论的护理学位论文在文献回顾方面的应用误区探讨[J].军事护理,2021,38(06):30.[doi:10.3969/j.issn.1008-9993.2021.06.008]
 CHEN Lingxi,ZHOU Yunxian.Errors Analysis in the Literature Review Section of the Nursuing Dissertations on Grounded Theory[J].Nursing Journal Of Chinese People's Laberation Army,2021,38(07):30.[doi:10.3969/j.issn.1008-9993.2021.06.008]

备注/Memo

备注/Memo:
【 收稿日期 】 2022-07-21 【 修回日期 】 2023-04-11
【 作者简介 】 史纪元,博士在读,护师,电话:010-88771006
【 通信作者 】 李峥,电话:010-88771006
更新日期/Last Update: 2023-07-15