Chinese Journal of Nursing ›› 2026, Vol. 61 ›› Issue (10): 1435-1440.DOI: 10.3761/j.issn.0254-1769.2026.10.019
• Review • Previous Articles
DUAN Difei1(
), HE Lingxiao2, ZHU Hong3, JIANG Yan3(
)
Received:2025-11-05
Online:2026-05-20
Published:2026-05-09
* Corresponding author:
JIANG Yan,E-mail:hxhljy2018@163.comFunding program:通讯作者:
蒋艳,E-mail:hxhljy2018@163.com作者简介:段棣飞:男,硕士,主管护师,E-mail:duandifei89@wchscu.cn段棣飞:确定选题、文献检索、文献整理及分析、论文撰写及修改;何凌霄、朱红:确定选题、文献分析及论文修改;蒋艳:论文修改及指导
基金资助:DUAN Difei, HE Lingxiao, ZHU Hong, JIANG Yan. Applications of artificial intelligence in clinical nursing decision support systems:research progress and implications[J]. Chinese Journal of Nursing, 2026, 61(10): 1435-1440.
段棣飞, 何凌霄, 朱红, 蒋艳. 人工智能在临床护理决策支持中的应用进展[J]. 中华护理杂志, 2026, 61(10): 1435-1440.
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| [1] | 国家卫生健康委办公厅. 卫生健康行业人工智能应用场景参考指引[EB/OL].(2024-11-06)[2025-08-29]. https://www.gov.cn/zhengce/zhengceku/202308/content_6895966.htm. |
| General Office of the National Health Commission. Reference guide on application scenarios of artificial intelligence in the health industry[EB/OL].(2024-11-06)[2025-08-29]. https://www.gov.cn/zhengce/zhengceku/202308/content_6895966.htm. | |
| [2] | 国家卫生健康委办公厅. 医疗机构临床决策支持系统应用管理规范(试行)[EB/OL].(2024-11-06)[2025-08-29]. https://www.gov.cn/zhengce/zhengceku/202308/content_6895966.htm. |
| General Office of the National Health Commission. Administra-tive specification for the application of clinical decision sup-port systems(trial)[EB/OL].(2024-11-06)[2025-08-29]. https://www.gov.cn/zhengce/zhengceku/202308/content_6895966.htm. | |
| [3] |
Sutton RT, Pincock D, Baumgart DC, et al. An overview of cli-nical decision support systems:benefits,risks,and strategies for success[J]. NPJ Digit Med, 2020, 3:17.
DOI PMID |
| [4] |
Zhang S, Ding S, Cui W, et al. Development and usability eva-luation of a nurse-led clinical decision support system(AI-AntiDelirium) for management of intensive care unit delirium:a mixed methods study[J]. Appl Nurs Res, 2025, 82:151921.
DOI URL |
| [5] | Cho I, Kim M, Song MR, et al. Evaluation of an approach to clinical decision support for preventing inpatient falls:a prag-matic trial[J]. JAMIA Open, 2023, 6(2):ooad019. |
| [6] |
王青, 丁晓彤, 罗忠琛, 等. 人工智能在护理质量管理中的应用进展[J]. 中华护理杂志, 2024, 59(23):2933-2939.
DOI |
| Wang Q, Ding XT, Luo ZC, et al. Advances of artificial intelli-gence in nursing quality management[J]. Chin J Nurs, 2024, 59(23):2933-2939. | |
| [7] | International Organization for Standardization/International Ele-ctrotechnical Commission(ISO/IEC). Information technology,arti-ficial intelligence,artificial intelligence concepts and termino-logy[EB/OL].(2022-07-01)[2025-11-18]. https://www.iso.org/stan-dard/74296.html. |
| [8] |
Hänsel K, Dudgeon SN, Cheung KH, et al. From data to wis-dom:biomedical knowledge graphs for real-world data insights[J]. J Med Syst, 2023, 47(1):65.
DOI |
| [9] |
Litjens G, Kooi T, Bejnordi BE, et al. A survey on deep learn-ing in medical image analysis[J]. Med Image Anal, 2017, 42:60-88.
DOI PMID |
| [10] |
Thirunavukarasu AJ, Ting DSJ, Elangovan K, et al. Large lan-guage models in medicine[J]. Nat Med, 2023, 29(8):1930-1940.
DOI PMID |
| [11] |
Rajkomar A, Dean J, Kohane I. Machine learning in medicine[J]. N Engl J Med, 2019, 380(14):1347-1358.
DOI URL |
| [12] |
Liu SQ, See KC, Ngiam KY, et al. Reinforcement learning for clinical decision support in critical care:comprehensive review[J]. J Med Internet Res, 2020, 22(7):e18477.
DOI URL |
| [13] |
Cho I, Jin IS, Park H, et al. Clinical impact of an analytic tool for predicting the fall risk in inpatients:controlled inter-rupted time series[J]. JMIR Med Inform, 2021, 9(11):e26456.
DOI URL |
| [14] | Verma AA, Stukel TA, Colacci M, et al. Clinical evaluation of a machine learning-based early warning system for patient deterioration[J]. CMAJ, 2024, 196(30):E1027-E1037. |
| [15] |
Seo S, Kang J, Eom IH, et al. Visual classification of pressure injury stages for nurses:a deep learning model applying mo-dern convolutional neural networks[J]. J Adv Nurs, 2023, 79(8):3047-3056.
DOI URL |
| [16] |
Nakatani H, Nakao M, Uchiyama H, et al. Predicting inpatient falls using natural language processing of nursing records obtained from Japanese electronic medical records:case-con-trol study[J]. JMIR Med Inform, 2020, 8(4):e16970.
DOI URL |
| [17] |
Dos Santos Diogo RC, Peres HHC. de Cassia Gengo And Silva Butcher R, Evaluation of the accuracy of nursing diagno-ses determined by users of a clinical decision support system[J]. J Nurs Scholarsh, 2021, 53(4):519-526.
DOI URL |
| [18] |
de Oliveira NB, Peres HHC. Quality of the documentation of the Nursing process in clinical decision support systems[J]. Rev Lat Am Enfermagem, 2021, 29:e3426.
DOI URL |
| [19] |
Cao YQ, Hu L, Cao X, et al. Can large language models faci-litate the effective implementation of nursing processes in clinical settings?[J]. BMC Nurs, 2025, 24(1):394.
DOI |
| [20] |
Fossum M, Ehnfors M, Svensson E, et al. Effects of a com-puterized decision support system on care planning for pressure ulcers and malnutrition in nursing homes:an inter-vention study[J]. Int J Med Inform, 2013, 82(10):911-921.
DOI URL |
| [21] |
Keenan GM, Lopez KD, Yao YW, et al. Toward meaningful care plan clinical decision support:feasibility and effects of a simulated pilot study[J]. Nurs Res, 2017, 66(5):388-398.
DOI PMID |
| [22] |
Dos Santos FC, Johnson LG, Madandola OO, et al. An example of leveraging AI for documentation:ChatGPT-generated nurs-ing care plan for an older adult with lung cancer[J]. J Am Med Inform Assoc, 2024, 31(9):2089-2096.
DOI URL |
| [23] |
Shermock SB, Shermock KM, Schepel LL. Closed-loop medica-tion management with an electronic health record system in U.S. and Finnish hospitals[J]. Int J Environ Res Public Health, 2023, 20(17):6680.
DOI URL |
| [24] |
Fixler A, Oliaro B, Frieden M, et al. Alert to action:imple-menting artificial intelligence-driven clinical decision support tools for sepsis[J]. Ochsner J, 2023, 23(3):222-231.
DOI URL |
| [25] |
李加敏, 吴昊琪, 郝玉芳, 等. ICU患者体位变换频率临床决策支持系统的构建及可用性评价[J]. 中华护理杂志, 2025, 60(7):827-831.
DOI |
|
Li JM, Wu HQ, Hao YF, et al. Construction and usability evaluation of a clinical decision support system for frequency repositioning in ICU patients[J]. Chin J Nurs, 2025, 60(7):827-831.
DOI |
|
| [26] |
薛瑾, 王清, 蒋玲, 等. ICU患者谵妄管理临床决策支持系统的构建与应用研究[J]. 中华护理杂志, 2023, 58(9):1037-1042.
DOI |
|
Xue J, Wang Q, Jiang L, et al. Construction and application of a clinical decision support system for delirium management in ICU patients[J]. Chin J Nurs, 2023, 58(9):1037-1042.
DOI |
|
| [27] | Zhang N, Meng ZX, Xu LN, et al. Development and applica-tion of a clinical nursing decision support system for pres-sure injury in postoperative cardiac surgery patients[J]. Digit Health, 2026, 12:20552076251411638. |
| [28] |
Yuan X, Zhu LH, Jiang KL, et al. Impact of artificial intel-ligence-assisted closed-loop mobile nursing information mana-gement on nursing quality indicators and work efficiency[J]. Risk Manag Healthc Policy, 2025, 18:3581-3591.
DOI URL |
| [29] |
Chae S, Davoudi A, Song J, et al. Developing a clinical deci-sion support framework for integrating predictive models into routine nursing practices in home health care for patients with heart failure[J]. J Nurs Scholarsh, 2025, 57(1):165-177.
DOI URL |
| [30] |
Liu TJ, Wang HW, Christian M, et al. Automatic segmentation and measurement of pressure injuries using deep learning models and a LiDAR camera[J]. Sci Rep, 2023, 13(1):680.
DOI PMID |
| [31] |
Almagharbeh WT, Alfanash HA, Alnawafleh KA, et al. Appli-cation of artificial intelligence in nursing practice:a qualita-tive study of Jordanian nurses’ perspectives[J]. BMC Nurs, 2025: 24(1):92.
DOI PMID |
| [32] |
Abell B, Naicker S, Rodwell D, et al. Identifying barriers and facilitators to successful implementation of computerized clini-cal decision support systems in hospitals:a NASSS frame-work-informed scoping review[J]. Implement Sci, 2023, 18(1):32.
DOI |
| [33] |
Dunn Lopez K, Heermann Langford L, Kennedy R, et al. Fu-ture advancement of health care through standardized nursing terminologies:reflections from a Friends of the National Library of Medicine workshop honoring Virginia K. Saba[J]. J Am Med Inform Assoc, 2023, 30(11):1878-1884.
DOI URL |
| [34] |
Monsen KA, Heermann L, Dunn-Lopez K. FHIR-up! Advanc-ing knowledge from clinical data through application of stan-dardized nursing terminologies within HL7 FHIR[J]. J Am Med Inform Assoc, 2023, 30(11):1858-1864.
DOI PMID |
| [35] | Rosenbacke R, Melhus Å, McKee M, et al. How explainable artificial intelligence can increase or decrease clinicians’ trust in AI applications in health care:systematic review[J]. JMIR AI, 2024, 3:e53207. |
| [36] |
Finlayson SG, Subbaswamy A, Singh K, et al. The clinician and dataset shift in artificial intelligence[J]. N Engl J Med, 2021, 385(3):283-286.
DOI URL |
| [37] |
Obermeyer Z, Powers B, Vogeli C, et al. Dissecting racial bias in an algorithm used to manage the health of populations[J]. Science, 2019, 366(6464):447-453.
DOI PMID |
| [38] |
Donovan T, Abell B, Fernando M, et al. Implementation costs of hospital-based computerised decision support systems:a systematic review[J]. Implement Sci, 2023, 18(1):7.
DOI |
| [39] |
Yao YW, Dunn Lopez K, Bjarnadottir RI, et al. Examining care planning efficiency and clinical decision support adoption in a system tailoring to nurses’ graph literacy:national,web-based randomized controlled trial[J]. J Med Internet Res, 2023, 25:e45043.
DOI URL |
| [40] |
Sommer D, Schmidbauer L, Wahl F. Nurses’ perceptions,expe-rience and knowledge regarding artificial intelligence:results from a cross-sectional online survey in Germany[J]. BMC Nurs, 2024, 23(1):205.
DOI |
| [41] |
Bodur G, Cakir H, Turan S, et al. Artificial intelligence in nurs-ing practice:a qualitative study of nurses’ perspectives on opportunities,challenges,and ethical implications[J]. BMC Nurs, 2025, 24(1):1263.
DOI |
| [42] | Young AT, Amara D, Bhattacharya A, et al. Patient and gene-ral public attitudes towards clinical artificial intelligence:a mixed methods systematic review[J]. Lancet Digit Health, 2021, 3(9):e599-e611. |
| [43] | 柏新蕊, 张红燕, 安宁, 等. 价值共创视角下数字赋能护理质量管理的研究进展[J]. 中华护理杂志, 2025, 60(3):379-384. |
| Bai XR, Zhang HY, An N, et al. Research progress on nursing quality management empowered by digital technology from the perspective of value co-creation[J]. Chin J Nurs, 2025, 60(3):379-384. |
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