Biomedical subjects

A Jeang

Publications and source records attributed to A Jeang.

5 recordsLinked to original sources

PubMed1996

Flexible nursing staff planning with adjustable patient demands.

The objective of this paper is to present a mathematical model for flexible staff planning when patient demands are uncertain and adjustable. The demand level before adjustment is considered a distribution on a daily basis. The adjustment is done by increasing or decreasing the average and the standard deviation of the daily demand level, with the assumption that the total patient demands for a week are identical. The adjustment of patient demands can be achieved by cooperating with an inpatient admission system to control the patient mix and the variation of an admitted census. Then, the nursing workforce can accommodate patient needs efficiency and economically with quality assurance in an uncertain demand environment.

Costs and Cost Analysis↗

PubMed1994

Flexible nursing staff planning when patient demands are uncertain.

Determination of appropriate nursing staff levels to provide quality service and maintain economic efficiency is a difficult problem for health care administrators to solve. The objective of this paper then is to prevent a mathematical model for determining the number of staff among full time and part time staff as well as overtime when patient demands are uncertain. The demand level is considered as a distribution on a daily basis. The model intends to integrate an entire week as a whole so that the number of staff is found on a weekly basis. Based on this model, the nursing workforce can accommodate patient needs efficiently and economically while remaining flexible in an uncertain demand environment.

Algorithms↗

PubMed1991

A stochastic model for determining the necessary staff level in a service industry.

Determining sufficient staff levels and providing quality, economical and efficient service is a problem that is difficult for some staffing managers to solve. The objectives in this paper are to derive a stochastic model for determining the necessary staff levels in various service environments such as hospitals, banks, or in manufacturing settings where the demand for a good staff is erratic. In order to assess the proper staff levels, an equation must be used which involves previous service demand hours that are considered as a distribution integrated within the statistical capability scale distribution. The most important property of this staffing model is that the results are independent of the mix of the jobs, the variation of the in-service time for jobs, and the stationary or nonstationary job arrival rate.

Humans↗

PubMed1990

Inpatient admission system model using SIMAN software.

In this paper a simulation model is developed as a tool to describe the behavior of the inpatient admission system in a hospital. Due to difficulties involved in the self-development or vendor approach to model such a complex system, the author uses SIMAN software to develop a simulation model for the inpatient admission system. To most hospitals, advantages are gained in terms of reduced purchasing and maintenance cost, and ease of use, as this software can run on any personal computer.

Admitting Department, Hospital↗

PubMed1989

A final adjustment for staff allocation under environmental uncertainty.

Through understanding the relationships between the previous day's (Sunday) demand and the remaining days' demand, a prediction model can be constructed. The staff level can be determined based on this prediction model. This model can also be applied in different hospital units or a staff environment other than hospitals.

Algorithms↗