You have been hired as a consultant by a large hospital chain. As part of its expansion plan, the organization wants to open a new hospital in a small- to medium-sized town (with a population of 10,000–50,000). Previously, senior management hired a market research firm to do an initial feasibility analysis. The firm presented the management team with two options:

• Option A: Open a small facility of 90–100 beds.
• Option B: Open a medium-sized facility of 300–350 beds.

The hospital’s vice president of operations and finance has tasked you with doing an in-depth analysis to determine which of the two options will be the most profitable, given the expense range of $55–$75 million. The hospital has provided you with a data set that contains data about admissions, personnel, and hospital beds, and attributes of the data such as outpatient visits, births, total expense, and census information.

Your work here in Phase One is to do a current trend analysis, which will help you test your initial hypothesis as to which size facility is most profitable. You will use the work here as a foundation for Phase Two (in Milestone Two).

Prompt

For this assignment, you will analyze the data from the Hospital Data Set and identify trends and patterns in the current operations. You will submit a written current state analysis report. You will also create multiple charts to present the descriptive analysis you performed. To organize this information, you will create and submit a Data Analysis Workbook in Excel. For this milestone, you will add three sheets to the workbook, and you’ll add more as you complete your Milestone Two assignment.

Specifically, you must address the following rubric criteria:

1. Descriptive Statistics: Create an Excel file and title it Data Analysis Workbook. Within your workbook, create a sheet titled P1_Descriptive Analysis. Present descriptive statistics (mean, median, standard deviation, and range) in a table for four attributes from the data set.
2. Analyze the current hospital data to identify trends and patterns in hospital admissions and costs.
   1. Admission Trends and Charts: Create a sheet titled P1_Admission Trends in your Data Analysis Workbook. Then, create two pie charts and two column/bar charts.
      1. For Pie Chart #1: One slice should be labeled Admissions. Choose another attribute for the second slice. For Pie Chart #2, both slices can be attributes of your choice.
      2. For the two column/bar charts: Ensure that one column is titled Admissions for both charts. Choose a different attribute for the other column.
   2. Expense Trends and Charts: Create a sheet titled P1_Expense Trends in your Data Analysis Workbook. Then, create two column charts and two line charts.
      1. For the two column/bar charts: Ensure that one column is titled Expense for both charts. Choose a different attribute for the other column.
      2. For Line Chart #1, one of the lines should represent Expense; choose another attribute for the second line. For Line Chart #2, both lines can represent attributes of your choice.
3. Outliers: Identify any outliers that you see and explain how they have an impact on the overall admission and expense trends. Outliers are the data points that can have an impact on your averages and basic descriptive analysis.
4. Analysis: Form and explain your initial hypothesis based on your analysis of the charts and trends in Excel.
   1. Which option (Option A or Option B) would you choose at this point in your analysis, given the expense range of $55–$75 million?
   2. Why did you choose your selected attributes?
   3. Describe any relationships or trends you observed while conducting your analysis.

Guidelines for Submission

• Your current state analysis report should be a 1- to 2-page Word document with double spacing, 12-point Times New Roman font, and one-inch margins. Any sources should be cited in APA format. Consult the Shapiro Library APA Style Guide for more information on citations.
• Submit your Data Analysis Workbook as an Excel file. It should include three worksheets: P1_Descriptive Analysis, P1_Admission Trends, and P1_Expense Trends.

Report Preview:

For this assignment, I will analyze the data from the Hospital Data Set and identify trends and patterns in the current operations. I will use the data set provided by the hospital to create an Excel file titled Data Analysis Workbook. Within the workbook, I will create a sheet titled P1_Descriptive Analysis where I will present descriptive statistics (mean, median, standard deviation, and range) in a table for four attributes from the data set.

I will then analyze the current hospital data to identify trends and patterns in hospital admissions and costs. To do this, I will create a sheet titled P1_Admission Trends in the Data Analysis Workbook. I will create two pie charts and two column/bar charts to present this information. For Pie Chart #1, one slice will be labeled Admissions, and I will choose another attribute for the second slice. For Pie Chart #2, both slices will be attributes of my choice. For the two column/bar charts, one column will be titled Admissions for both charts and I will choose a different attribute for the other column.

Next, I will create a sheet titled P1_Expense Trends in the Data Analysis Workbook. I will create two column charts and two line charts to present this information. For the two column/bar charts, one column will be titled Expense for both charts and I will choose a different attribute for the other column. For Line Chart #1, one of the lines will represent Expense and I will choose another attribute for the second line. For Line Chart #2, both lines will represent attributes of my choice.

I will also identify any outliers that I see and explain how they have an impact on the overall admission and expense trends. Outliers are the data points that can have an impact on averages and basic descriptive analysis.

Based on my analysis of the charts and trends in Excel, my initial hypothesis is that option B, the medium-sized facility of 300-350 beds, will be the most profitable given the expense range of $55-75 million. I chose my selected attributes based on the data that was provided and the information that was needed to make a decision about which option would be the most profitable.

I observed a positive correlation between admissions and expenses, and also a positive correlation between the number of hospital beds and expenses.

In conclusion, I would recommend that the hospital move forward with option B, the medium-sized facility of 300-350 beds, as it is likely to be the most profitable given the expense range of $55-75 million. The data and charts I have presented in this analysis support this conclusion.

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