Due to abnormal climate change in recent years, various types of influenza have been prevalent, especially in the beginning of this year. During the flu peak, large numbers of flu patients, as well as other patients, flock into the emergency room (ER) of medical centers, resulting in existing ER medical and nursing personnel’s inability to cope with the ER patients that rush in and leaving hospitals no choice but to immediately organize and dispatch provisional medical and nursing personnel from other departments and offices for short-term organization and support. Due to all kinds of widespread urban diseases and contagious diseases these days, the general public can only rely on the medical system. However, in hospital organization, nursing departments the units with the greatest human resources demand. However, because of reversed day and night shifts, long-term lack of rest, and poor quality of sleep, most nurses opt for a career change instead of continuing to engage in nursing care work, thus resulting in a serious lack of nursing staff in medical units. In fact, adequate nursing staff is one of the main factors affecting the quality of medical care.
Currently, nursing staff mostly take three shifts, since hospitals are characterized by 24-hour work, all year round. As for general duty scheduling, manual scheduling is generally adopted by department head nurses or senior nurses based on experience. This scheduling lacks objective judgment through scientific methods. Therefore, personal subjectivity, staff preferences, or human omissions may result, which may affect the fairness of scheduling and may take more time to complete manpower scheduling.
Targeting the above issues, this study adopted the ER of an anonymous hospital as an example. An optimization mathematical model was constructed. With the LINGO-12 package software, the 0-1 integer programming model was employed to obtain the most average work hours and manpower dispatch optimization of ER provisional short-term organization of nursing staff. The “work hours not exceeding 40 hours per week” requirement in the Labor Standard Law, LSL was even incorporated. The research finding shows that this model is better compared to the manual experience-based dispatch method. The results show that this study’s dispatch model shortened the scheduling time and achieved better manpower utilization effectiveness and fairness. The results shall serve as a reference for medical units during provisional short-term organization of nursing staff manpower dispatch practices.