How can the health organization effectively match the staffing patterns to meet the patient’s dema

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Introduction to the study In this case, the healthcare organization under consideration is highly dynamic and uncertain. It also tends to be variable because of factors that can be controlled and those that cannot be effectively controlled. Such factors include staff capacity, unscheduled patients as well as treatment time, especially under complex conditions or during times of pressure when the workload is overwhelming. There is extreme variability in such cases; this leads to a situation where both performance and productivity are negatively affected. Most decisions related to scheduling and staffing are among the most important decisions that can currently be made in healthcare organizations. Such decisions are complicated by the need to have round-the-clock staffing in the various nursing units, the existing nurse shortage, and pressure from different quarters to cut the cost of healthcare. Moreover, in most cases, patients are kept in the hospitals only when they need highly skilled personnel (Restrepo, Rousseau & Vallée, 2020). Therefore, there is a need to reach the problem of staffing and scheduling in a bid to ensure that patients get adequate healthcare services that they deserve. Problem Statement The provision of nursing services in the health organization tends to be a difficult problem perpetually. In this case, healthcare services tend to be “pure” services that are supposed to be available, i.e., 7 days a week and 24 hours a day. There are no holidays and weekends. There is a lot of contact between the patients and the nursing staff, and demand is highly timedependent. In order to ensure that care is provided in a timely fashion and that rigorous quality standards are met, the right number and type of nursing staff must always be available when needed. Previous research tends to report on systems, schedules, and projects that have been tried in many hospitals. However, these researches have yet to be able to reach amicable solutions that


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