基于PDCA循环的"1+X"药学会诊模型的构建
Developing a"1+X"pharmaceutical consultation model through the PDCA cycle
胥甜甜 1宋小玲 1陈璿瑛 1吕燕妮1
作者信息
- 1. 南昌大学第一附属医院药学部,江西南昌 330004
- 折叠
摘要
为了提高工作效率和准确性,我们构建了基于PDCA循环的"1+X"药学会诊模式.通过分析现状,查找会诊效率低的原因,从人员培训、会诊宣传、会诊流程优化等方面探索药学会诊模式,形成以抗感染会诊为主,向多专业扩展的"1+X"模式.2022年共开展药学会诊5044例,较2017年同比增长了50％以上,其中普通会诊3007例,扩大会诊96例,覆盖神经外科、神经内科等10多个科室,会诊建议的采纳率为89.2％,会诊的有效率为76.4％.由此可见,基于PDCA循环的"1+X"药学会诊模式为医疗机构的药学会诊提供了实践参考,也为临床药师的培养提供了有益的方法.
Abstract
To improve the efficiency and precision of our pharmacy consultation services,we adopted a"1+X"model based on the PDCA(Plan-Do-Check-Act)cycle.In the initial analysis,we identified factors contributing to suboptimal consultation efficiency.Our approach included a thorough examination of our pharmacy consultation system,encompassing personnel training,consultation promotion,and the refinement of the consultation process.A standardized pharmacy consultation model was devised and continually refined,with a primary focus on infectious diseases.Subsequently,the model expanded to include various medical specialties,fostering multi-disciplinary participation.Since the implementation of the"1+X"pharmacy consultation model,spanning from 2017 to 2022,consultation numbers exhibited a consistent annual growth exceeding 50％.In 2022 alone,5044 pharmaceutical consultations were conducted,encompassing 3007 standard consultations and 96 expanded consultations across diverse departments such as neurosurgery and neurology.The adoption rate of consultation recommendations reached 89.2％,while the effectiveness of consultation treatments stood at an impressive 76.4％.This success underscored the impact of the"1+X"pharmacy consultation model on enhancing consultation outcomes.Collectively,our model,rooted in the PDCA cycle,not only served as a practical blueprint for pharmacy consultation systems in medical institutions but also provided valuable insights and a robust framework for the professional development and training of clinical pharmacists.
关键词
PDCA循环法/药师/会诊/工作模式Key words
PDCA cycle method/Cinical pharmacist/Parmacy consultation/Model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据