基于线性规划模型的排班模式在手术护理人力资源调配中的应用  

Application of scheduling model based on linear programming model in human resource allocation of surgical nursing staff

作　　者：付军桦[1] 郑昕[1] 魏丽丽[2] 张芮[1] 苏赛男 Fu Junhua;Zheng Xin;Wei Lili;Zhang Rui;Su Sainan(Department of Operating Room,the Affiliated Hospital of Qingdao University,Qingdao 266003,China;Department of Nursing,the Affiliated Hospital of Qingdao University,Qingdao 266003,China)

机构地区：[1]青岛大学附属医院手术室,青岛266003 [2]青岛大学附属医院护理部,青岛266003

出　　处：《中国实用护理杂志》2023年第5期326-331,共6页Chinese Journal of Practical Nursing

基　　金：山东省重点研发计划(软科学项目)(2020RZB01096)。

摘　　要：目的探索线性规划模型对手术护理配合人力资源调配的预测应用,优化护理人力资源的调配。方法本研究为临床对照试验,采用便利抽样法选取青岛大学附属医院5个院区手术室的91名护理人员为研究对象,参加2020年8—9月排班的护理人员为常规排班组,参加2021年3—4月排班的护理人员为线性规划排班组。通过建立手术护理配合人力资源线性规划模型,应用的LINGO 11.0软件对次日手术所需要的最少护理人员数目进行运算预测,根据预测结果结合手术室专科分组、层级要求进行次日手术的人员安排。将常规排班组护理人员的加班时间与线性规划排班组护理人员的加班时长进行比较分析。结果4个月在岗护理人数是相等的,常规排班组2020年8、9月与线性规划模型排班组2021年3、4月的加班时长分别为865(505,1435)、780(475,1355)、650(460,910)、720(350,915)min,差异有统计学意义(H=13.66,P<0.05);常规排班组的2020年8月分别与线性规划模型排班组的2021年3月和2021年4月的加班时长比较差异均有统计学意义(Z=-2.69、-2.55,均P<0.05)。常规排班组的2020年9月分别与线性规划模型排班组的2021年3月和2021年4月的加班时长比较差异均有统计学意义(Z=-2.62、-2.58,均P<0.05)。结论采用线性规划模型对手术护理配合的人力资源调配进行运算预测,优化了手术室人力资源的配置,有效减少了手术护理人员的加班时长,间接加速了手术的运转,提高了手术效率,保证患者的安全。Objective Use linear programming model to predict the allocation of surgical nursing human resources,and optimize the allocation of nursing staff.Methods This study was a controlled clinical trial.A total of 91 nurses from 5 surgical departments in Affiliated Hospital of Qingdao University were selected by convenience sampling method.The nurses who participated in the scheduling in August and September 2020 were the routine scheduling groups,and in March and April 2021 were the linear scheduling groups.The linear programming model of surgical nursing human resources was established.The LINGO 11.0 software was used to calculate the minimum number of nurses required for the next day operation.According to the predicted results and the requirements of the operation specialty and rank level,the surgical staff was arranged for the next day.The overtime hours of nurses in the routine scheduling groups and the linear scheduling groups were compared and analyzed.Results The number of on-duty nurses was the same in 4 groups,the overtime hours of the conventional scheduling groups in August and September 2020 and the linear scheduling groups in March and April 2021 were 865(505,1435),780(475,1355),650(460,910)and 720(350,915)min,the difference of overtime hours was statistically significant(H=13.66,P<0.05).The overtime hours of the routine scheduling group in August 2020 were significantly different from those of the linear scheduling group in March 2021 and April 2021 respectively(Z=-2.69,-2.55,both P<0.05).The overtime hours of the routine scheduling group in September 2020 were significantly different from those of the linear scheduling group in March 2021 and April 2021 respectively(Z=-2.62,-2.58,both P<0.05).Conclusions The linear programming model was used to predict the human resource allocation of surgical nursing staff,optimized the allocation of operating room human resources.It reduced the overtime hours of surgical nursing staff effectively.Indirectly,it accelerated operations,improved operation efficiency and

关 键 词：线性模型 手术室护理 人力 资源配置 

分 类 号：R47[医药卫生—护理学]