Application of smart teaching mode in blood purification specialized nursing teaching_West China Medical Journal

Authors：

WANG Fang ¹ , LIN Li ¹ , TANG Xue ¹ , SUN Xiankun ¹ , ZHANG Ling ² ,  CHEN Zhiwen ¹

1. Department of Nephrology, West China Hospital, Sichuan University / West China School of Nursing, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
2. Department of Nephrology and Institute of Kidney Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding author：

CHEN Zhiwen, Email: kiyuhot@163.com

Keywords：

Smart teaching; blood purification; specialized nursing teaching

DOI：

10.7507/1002-0179.202307030

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

With the development of medical information technology, smart teaching has been widely applied in various fields of medical education. The application of smart teaching technologies such as virtual simulation, intelligent evaluation, and smart teaching platform in blood purification specialized nursing teaching have gradually increased. This article provides an overview of the application of smart teaching mode in blood purification specialized nursing teaching both domestically and internationally, and introduces the integration of online and offline smart teaching mode, in order to provide a theoretical basis for improving the quality of blood purification specialized nursing teaching.

Citation： WANG Fang, LIN Li, TANG Xue, SUN Xiankun, ZHANG Ling, CHEN Zhiwen. Application of smart teaching mode in blood purification specialized nursing teaching. West China Medical Journal, 2024, 39(7): 1110-1113. doi: 10.7507/1002-0179.202307030 Copy

1.	胡珊珊, 厉玉鹏. 大数据时代医学院校智慧教育探讨. 医学信息学杂志, 2017, 38(5): 85-88.
2.	Zhang A, Feng X. The concept analysis of smart teaching. Nurse Educ Today, 2022, 112: 105329.
3.	McBain KA, Habib R, Laggis G, et al. Scoping review: the use of augmented reality in clinical anatomical education and its assessment tools. Anat Sci Educ, 2022, 15(4): 765-796.
4.	GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet, 2020, 395(10225): 709-733.
5.	何福男. 智慧教学动力解析. 教学与管理, 2023(21): 6-10.
6.	罗生全, 张雪. 智慧教学概念的多元理解及新解释. 中国远程教育(综合版), 2022(11): 6-14.
7.	王进有, 庹舟廷, 汪鑫, 等. 智慧教学联合虚拟现实技术在泌尿外科临床教学中的应用. 中国病案, 2023, 24(1): 70-72.
8.	李彬, 何子涵, 杨阳, 等. 口腔医学专业智慧实验教学的发展现状. 中华医学教育杂志, 2021, 41(2): 151-154.
9.	王晨. 血液净化专科护士培训的实践. 护理学杂志, 2012, 27(1): 64-65.
10.	郑浩天. 血液净化专科护士规范化培训的现状. 中国血液净化, 2018, 17(6): 424-426.
11.	周光霞, 辛霞, 高菊林, 等. 我国血液净化专科护士培训现状、存在问题和对策研究进展. 广西医学, 2018, 40(8): 960-962.
12.	Eisold C, Poenicke C, Pfältzer A, et al. Simulation in the intensive care setting. Best Pract Res Clin Anaesthesiol, 2015, 29(1): 51-60.
13.	Khanduja PK, Bould MD, Naik VN, et al. The role of simulation in continuing medical education for acute care physicians: a systematic review. Crit Care Med, 2015, 43(1): 186-193.
14.	Steadman RH, Burden AR, Huang YM, et al. Practice improvements based on participation in simulation for the maintenance of certification in anesthesiology program. Anesthesiology, 2015, 122(5): 1154-1169.
15.	Dunbar-Reid K, Sinclair PM, Hudson D. The incorporation of high fidelity simulation training into hemodialysis nursing education: an Australian unit’s experience. Nephrol Nurs J, 2011, 38(6): 463-472.
16.	Hudson D, Dunbar-Reid K, Sinclair PM. The incorporation of high fidelity simulation training into hemodialysis nursing education: part 2--a pictorial guide to modifying a high fidelity simulator for use in simulating hemodialysis. Nephrol Nurs J, 2012, 39(2): 119-123.
17.	林宛杨. 浅析《虚拟现实角色 3D 建模》课程教学. 电脑知识与技术, 2017, 13(32): 163-164, 170.
18.	Lemarie P, Husser Vidal S, Gergaud S, et al. High-fidelity simulation nurse training reduces unplanned interruption of continuous renal replacement therapy sessions in critically ill patients: the SimHeR randomized controlled trial. Anesth Analg, 2019, 129(1): 121-128.
19.	Mottes T, Owens T, Niedner M, et al. Improving delivery of continuous renal replacement therapy: impact of a simulation-based educational intervention. Pediatr Crit Care Med, 2013, 14(8): 747-754.
20.	邓娟, 胡芬, 李锦, 等. 连续性肾脏替代治疗护理实践分层培训方案的构建. 中国护理管理, 2023, 23(9): 1326-1332.
21.	张冉, 蔡卫新, 王秀秀, 等. 压力性损伤智能化“评估-决策-控制”系统在脑血管病重症患者中的应用. 中国卒中杂志, 2022, 17(11): 1198-1202.
22.	王晓丽, 王鑫, 李鹏. 智能化 VTE 风险评估与预警监控系统的建设与应用. 中国数字医学, 2022, 17(8): 70-74.
23.	汤金松, 王彦哲. 基于智能化监测评估网络的家医联动干预早产儿脑发育模式及应用. 数字技术与应用, 2023, 41(2): 22-25.
24.	Przybyl H, Androwich I, Evans J. Using high-fidelity simulation to assess knowledge, skills, and attitudes in nurses performing CRRT. Nephrol Nurs J, 2015, 42(2): 135-147.
25.	张敬丽, 张婉词, 张桂芝, 等. 血液净化教学平台的构建. 中国病案, 2017, 18(3): 88-91.
26.	Windt K. Development of online learning modules as an adjunct to skills fairs and lectures to maintain nurses’ competency and comfort level when caring for pediatric patients requiring continuous renal replacement therapy (CRRT). Nephrol Nurs J, 2016, 43(1): 39-46.
27.	代明金, 王芳, 陈志文, 等. 信息化的巡回教学模式在连续性肾脏替代治疗进修护士教学中的应用效果研究. 华西医学, 2020, 35(6): 701-704.
28.	李青, 王凡, 赖丹, 等. 智慧教学平台联合视频反馈教学法在中高职衔接护理专业社区健康服务课程中的应用. 中华护理教育, 2023, 20(12): 1459-1464.
29.	祝智庭, 胡姣. 技术赋能后疫情教育创变: 线上线下融合教学新样态. 开放教育研究, 2021, 27(1): 13-23.
30.	余晓洋, 冯云, 李燕, 等. 移动互联网背景下 OMO 智慧教学模式在内科学教学中的构建与应用研究. 中国医学教育技术, 2023, 37(3): 335-339.
31.	Yu H, Wang S, Li J, et al. Influence of online merging offline method on university students’ active learning through learning satisfaction. Front Psychol, 2022, 13: 842322.

1. 胡珊珊, 厉玉鹏. 大数据时代医学院校智慧教育探讨. 医学信息学杂志, 2017, 38(5): 85-88.
2. Zhang A, Feng X. The concept analysis of smart teaching. Nurse Educ Today, 2022, 112: 105329.
3. McBain KA, Habib R, Laggis G, et al. Scoping review: the use of augmented reality in clinical anatomical education and its assessment tools. Anat Sci Educ, 2022, 15(4): 765-796.
4. GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet, 2020, 395(10225): 709-733.
5. 何福男. 智慧教学动力解析. 教学与管理, 2023(21): 6-10.
6. 罗生全, 张雪. 智慧教学概念的多元理解及新解释. 中国远程教育(综合版), 2022(11): 6-14.
7. 王进有, 庹舟廷, 汪鑫, 等. 智慧教学联合虚拟现实技术在泌尿外科临床教学中的应用. 中国病案, 2023, 24(1): 70-72.
8. 李彬, 何子涵, 杨阳, 等. 口腔医学专业智慧实验教学的发展现状. 中华医学教育杂志, 2021, 41(2): 151-154.
9. 王晨. 血液净化专科护士培训的实践. 护理学杂志, 2012, 27(1): 64-65.
10. 郑浩天. 血液净化专科护士规范化培训的现状. 中国血液净化, 2018, 17(6): 424-426.
11. 周光霞, 辛霞, 高菊林, 等. 我国血液净化专科护士培训现状、存在问题和对策研究进展. 广西医学, 2018, 40(8): 960-962.
12. Eisold C, Poenicke C, Pfältzer A, et al. Simulation in the intensive care setting. Best Pract Res Clin Anaesthesiol, 2015, 29(1): 51-60.
13. Khanduja PK, Bould MD, Naik VN, et al. The role of simulation in continuing medical education for acute care physicians: a systematic review. Crit Care Med, 2015, 43(1): 186-193.
14. Steadman RH, Burden AR, Huang YM, et al. Practice improvements based on participation in simulation for the maintenance of certification in anesthesiology program. Anesthesiology, 2015, 122(5): 1154-1169.
15. Dunbar-Reid K, Sinclair PM, Hudson D. The incorporation of high fidelity simulation training into hemodialysis nursing education: an Australian unit’s experience. Nephrol Nurs J, 2011, 38(6): 463-472.
16. Hudson D, Dunbar-Reid K, Sinclair PM. The incorporation of high fidelity simulation training into hemodialysis nursing education: part 2--a pictorial guide to modifying a high fidelity simulator for use in simulating hemodialysis. Nephrol Nurs J, 2012, 39(2): 119-123.
17. 林宛杨. 浅析《虚拟现实角色 3D 建模》课程教学. 电脑知识与技术, 2017, 13(32): 163-164, 170.
18. Lemarie P, Husser Vidal S, Gergaud S, et al. High-fidelity simulation nurse training reduces unplanned interruption of continuous renal replacement therapy sessions in critically ill patients: the SimHeR randomized controlled trial. Anesth Analg, 2019, 129(1): 121-128.
19. Mottes T, Owens T, Niedner M, et al. Improving delivery of continuous renal replacement therapy: impact of a simulation-based educational intervention. Pediatr Crit Care Med, 2013, 14(8): 747-754.
20. 邓娟, 胡芬, 李锦, 等. 连续性肾脏替代治疗护理实践分层培训方案的构建. 中国护理管理, 2023, 23(9): 1326-1332.
21. 张冉, 蔡卫新, 王秀秀, 等. 压力性损伤智能化“评估-决策-控制”系统在脑血管病重症患者中的应用. 中国卒中杂志, 2022, 17(11): 1198-1202.
22. 王晓丽, 王鑫, 李鹏. 智能化 VTE 风险评估与预警监控系统的建设与应用. 中国数字医学, 2022, 17(8): 70-74.
23. 汤金松, 王彦哲. 基于智能化监测评估网络的家医联动干预早产儿脑发育模式及应用. 数字技术与应用, 2023, 41(2): 22-25.
24. Przybyl H, Androwich I, Evans J. Using high-fidelity simulation to assess knowledge, skills, and attitudes in nurses performing CRRT. Nephrol Nurs J, 2015, 42(2): 135-147.
25. 张敬丽, 张婉词, 张桂芝, 等. 血液净化教学平台的构建. 中国病案, 2017, 18(3): 88-91.
26. Windt K. Development of online learning modules as an adjunct to skills fairs and lectures to maintain nurses’ competency and comfort level when caring for pediatric patients requiring continuous renal replacement therapy (CRRT). Nephrol Nurs J, 2016, 43(1): 39-46.
27. 代明金, 王芳, 陈志文, 等. 信息化的巡回教学模式在连续性肾脏替代治疗进修护士教学中的应用效果研究. 华西医学, 2020, 35(6): 701-704.
28. 李青, 王凡, 赖丹, 等. 智慧教学平台联合视频反馈教学法在中高职衔接护理专业社区健康服务课程中的应用. 中华护理教育, 2023, 20(12): 1459-1464.
29. 祝智庭, 胡姣. 技术赋能后疫情教育创变: 线上线下融合教学新样态. 开放教育研究, 2021, 27(1): 13-23.
30. 余晓洋, 冯云, 李燕, 等. 移动互联网背景下 OMO 智慧教学模式在内科学教学中的构建与应用研究. 中国医学教育技术, 2023, 37(3): 335-339.
31. Yu H, Wang S, Li J, et al. Influence of online merging offline method on university students’ active learning through learning satisfaction. Front Psychol, 2022, 13: 842322.

West China Medical Journal

Application of smart teaching mode in blood purification specialized nursing teaching

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content