Related Experiment Videos
Staffing by the numbers: a statistical approach to staffing justication
Dan Yaross1, Ronald J Morris, Ming Guo
1Cincinnati Children's Hospital Medical Center, USA.
Summary
This study outlines security coverage adjustments to reduce hospital overtime costs while maintaining employee safety. It emphasizes aligning security initiatives with organizational goals for fiscal responsibility and funding.
Area of Science:
- Healthcare Administration
- Organizational Security Management
- Public Health Policy
Background:
- Hospitals face financial constraints requiring efficient resource allocation.
- Security departments must demonstrate fiscal responsibility to secure funding.
- Overtime expenses can significantly impact departmental budgets.
Purpose of the Study:
- To develop recommendations for altering security coverage to minimize overtime costs.
- To ensure employee safety is not compromised during security adjustments.
- To align security initiatives with broader organizational strategic goals.
Main Methods:
- Collaboration between the Protective Services Division and Human Resources.
- Analysis of current security coverage and overtime expenditure.
- Development of revised security coverage strategies.
Main Results:
- Proposed recommendations for security coverage changes.
- Strategies to reduce overtime dollars without sacrificing employee safety.
- Framework for aligning security initiatives with organizational objectives.
Conclusions:
- Fiscal responsibility and strategic alignment are crucial for security department funding.
- Optimized security coverage can lead to significant cost savings.
- Proactive planning ensures both safety and financial health in hospital security.
Related Concept Videos
Random Sampling Method
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
Cluster Sampling Method
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Statgraphics
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
Systematic Sampling Method
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
Estimation of the Physical Quantities
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Bootstrapping
The term "bootstrap" originated in the 19th century as a metaphor for self-improvement or achieving something independently, without external assistance. This concept extends to statistical bootstrapping, a self-contained method for estimating population parameters through resampling, even though it can be computationally intensive. Developed by the American statistician Dr. Bradley Efron in 1979, bootstrapping provides a robust way to perform inference when the original sample size is small or...