Hospital Case Study Statistics
Hospital J Case Study and Recommendations for Improvement
The purpose of this case study is to examine, analyze, and interpret a given set of data for Hospital J in order to recommend changes to maximize efficiency of operations. The data provided was recorded over the course of a year in Hospital J’s emergency room. Data is attached in Appendix A. Various methods were used to determine the best course of action for the hospital in terms of staffing, supplies, and income allotment. The nominal categories are as follows: EP is the emergency room patients that were seen via self-arrival at the hospital, AD is the patients admitted after an emergency room visit, and AMB signifies the patients arriving by ambulance to the emergency room. Total represents all patients coming through Hospital J’s emergency room. Some patients will fall into more than one category, therefore when adding all 3 categories, it is not indicative of the actual number of patients seen. This is the descriptive statistical data, organized and summarized information from the data. It should also be noted that the data and results are from a year long sample of a population of total emergency room patients. As defined by Brase/Brase’s Sixth Edition Understanding Basic Statistics, a population is defined as “ the data [omitted] from every individual of interest.” Likewise, a sample is defined as “the data [omitted] from only some of the individuals of interest.” While examining this data, specific parameters (numerical measure the describes an aspect of a population) were used along with the sample statistic (numerical measure that describes an aspect of a sample.) Qualitative (describing and individual by placing into a category or group) and quantitative (data with a value of numerical measure) aspects were closely analyzed, and inferential statistics (methods using information from a sample to draw conclusions regarding the population) will be used to formulate conclusions and make
The purpose of this case study is to examine, analyze, and interpret a given set of data for Hospital J in order to recommend changes to maximize efficiency of operations. The data provided was recorded over the course of a year in Hospital J’s emergency room. Data is attached in Appendix A. Various methods were used to determine the best course of action for the hospital in terms of staffing, supplies, and income allotment. The nominal categories are as follows: EP is the emergency room patients that were seen via self-arrival at the hospital, AD is the patients admitted after an emergency room visit, and AMB signifies the patients arriving by ambulance to the emergency room. Total represents all patients coming through Hospital J’s emergency room. Some patients will fall into more than one category, therefore when adding all 3 categories, it is not indicative of the actual number of patients seen. This is the descriptive statistical data, organized and summarized information from the data. It should also be noted that the data and results are from a year long sample of a population of total emergency room patients. As defined by Brase/Brase’s Sixth Edition Understanding Basic Statistics, a population is defined as “ the data [omitted] from every individual of interest.” Likewise, a sample is defined as “the data [omitted] from only some of the individuals of interest.” While examining this data, specific parameters (numerical measure the describes an aspect of a population) were used along with the sample statistic (numerical measure that describes an aspect of a sample.) Qualitative (describing and individual by placing into a category or group) and quantitative (data with a value of numerical measure) aspects were closely analyzed, and inferential statistics (methods using information from a sample to draw conclusions regarding the population) will be used to formulate conclusions and make