FAST-N: A WHOLE NEW MODEL FOR TRAINING INTENSIVE CARE SPECIALIST NURSES

Authors

  • CongBing Yan Department of Neurosurgery, Shanghai Fourth People's Hospital Affiliated to Tongji University, Shanghai 200434, China
  • WenJing Ji (Corresponding Author) Department of Neurosurgery, Shanghai Fourth People's Hospital Affiliated to Tongji University, Shanghai 200434, China
  • JinHua Jiang Department of Critical Care Medicine, Shanghai Fourth People's Hospital Affiliated to Tongji University, Shanghai 200434, China
  • ShengXian Ni Department of Nursing, Shanghai Fourth People's Hospital Affiliated to Tongji University, Shanghai 200434, China
  • Ying Nie Department of Neurosurgery, Shanghai Fourth People's Hospital Affiliated to Tongji University, Shanghai 200434, China
  • Ya Gao Department of Neurosurgery, Shanghai Fourth People's Hospital Affiliated to Tongji University, Shanghai 200434, China
  • TianMi Wu Emergency Department, Changzhou West Taihu Hospital, Changzhou 213002, Jiangsu, China
  • XinYu Fan Emergency Department, Huashan Hospital Affiliated to Fudan University, Shanghai 200040, China

Keywords:

FAST-N, Intensive care, Specialist nurse, Training mode

Abstract

This paper explores an emerging training model of intensive care specialist nurses -- FAST-N, aiming to respond to acute and critical situations in modern medical settings by improving nurses' ability to respond quickly and handle complex situations. This paper expounds the theoretical basis and design points of FAST-N model, analyzes the challenges and deficiencies of the existing training model of intensive care nurses, and on this basis, puts forward suggestions to improve the quality and efficiency of training, including strengthening standardized training, increasing practical operation and establishing continuous evaluation mechanism. It aims to promote the innovative development of intensive care nurse training mode, improve the quality of nursing, improve patient safety and promote the efficiency of medical service.

References

[1] Deng Xiangling, Huang Hongyu, Deng Shefang. The practice of cultivating intensive care specialist nurses by the "institution cooperation" model. Journal of Xiangnan University (Medical edition), 2019, 21(1): 58-62.

[2] Tang Jing. Analysis of the application effect of the network platform-assisted training mode in the training of the specialized care subspecialty group in intensive care units. Community physicians in China, 2024, 40(5): 161-163.

[3] Zhou Song, Zhong Jin, Lai Kailan, et al. Experience of training hospital critical care nurses with case teaching mode as the carrier. Chinese Journal of Critical Care Medicine (electronic edition), 2022, 15(3): 261-264.

[4] Ren Tingting. Analysis of the training mode of specialist nurses in critical care medicine. China Science and technology Journal database Medicine, 2021(9): 0124-0125.

[5] Huang Pei, Yang Xiangying, Zhu Mingli, et al. The practical effect of "whole-process-specialty" dual-tutor responsibility system teaching mode in ICU training of core competence training of nurses. Zhejiang Clinical Medicine, 2022, 24(3): 473-474.

[6] Fu Xiuqin. Application of progressive training in the training period of ICU nurses. The International Journal of Nursing, 2017(11).

[7] Wang Aixia, Dong Aishu, Liu Yiwei, et al. The application effect of double tutorial system and teaching mode in the cultivation of judging thinking of nursing students. The Chinese Modern Nursing Journal, 2016(22).

[8] Kong Xiaohua, Yang Li. Analysis on the application effect of integrated nursing management mode of emergency and critical care department in cultivating acute and critical care nurses. Contemporary Medicine Theory Series, 2018, 16(18): 216-217.

[9] Wang Huali. Application of integrated nursing management mode of emergency and critical care departments in cultivating acute and critical care specialist nurses. Journal of Traditional Chinese Medicine Management, 2020, 28(10): 90-91.

[10] Guilherme Brando, Kazuya Koyama, Hans A. Winther. Revisiting Vainshtein screening for fast N-body simulations. Journal of Cosmology and Astroparticle Physics, 2023, Vol. 2023(6): 45.

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Published

2024-01-01

Issue

Vol. 6 No. 3 (2024)

Section

Research Article

DOI:

https://doi.org/10.61784/jpmr3012

How to Cite

Yan, C., Ji, W., Jiang, J., Ni, S., Nie, Y., Gao, Y., Wu, T., Fan, X. (2024). Fast-N: A Whole New Model For Training Intensive Care Specialist Nurses. Eurasia Journal of Science and Technology, 6(3), 27-32. https://doi.org/10.61784/jpmr3012