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DATA ENVELOPMENT ANALYSIS COMPARISON OF WASHINGTON STATE HOSPITAL EFFICIENCY AND QUALITY By NICHOLAS NORBERT LUTE A thesis submitted in partial fulfillment of the requirements for the degree of MASTER
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How to fill out data envelopment analysis comparison:

01
Gather the necessary data: Collect relevant information regarding the inputs and outputs of the entities being analyzed. This could include financial data, operational metrics, or any other relevant information.
02
Identify the DMUs: Determine the Decision Making Units (DMUs) that will be included in the analysis. These are the entities that will be compared and evaluated based on their relative efficiency.
03
Define the inputs and outputs: Clearly specify the inputs and outputs for each DMU. Inputs refer to the resources used by the DMUs, while outputs represent the outcomes or results achieved.
04
Normalize the data: In order to make meaningful comparisons, it is important to normalize the data. This involves scaling the inputs and outputs to a common unit or range. Various normalization techniques can be used, such as min-max scaling or z-score normalization.
05
Calculate efficiency scores: Use the data envelopment analysis (DEA) methodology to calculate the efficiency scores for each DMU. DEA compares the ratios of inputs to outputs and identifies the relative efficiency of different DMUs.
06
Interpret and analyze the results: After calculating the efficiency scores, analyze the results to identify the most efficient DMUs and understand the factors contributing to their efficiency. This analysis can provide valuable insights for decision-making and performance improvement.

Who needs data envelopment analysis comparison?

01
Researchers and Academics: Scholars in the field of operations research, management science, or economics may need data envelopment analysis (DEA) comparisons to study efficiency, benchmarking, or productivity in various industries or sectors.
02
Business Managers and Decision Makers: Managers and decision-makers in organizations can benefit from DEA comparisons to identify areas of inefficiency, allocate resources effectively, and improve overall performance.
03
Government and Regulatory Bodies: Government agencies and regulatory bodies might require DEA comparisons to evaluate the performance of public entities or regulate industries to ensure efficient use of resources.
04
Financial Institutions and Investors: Financial institutions, such as banks or investment firms, may utilize DEA comparisons to assess the efficiency and profitability of potential investment opportunities or loan applicants.
05
Consultants and Analysts: Consultants and analysts could provide data envelopment analysis comparisons as a part of their services to help organizations optimize their operations, streamline processes, or identify areas for cost reduction.
06
Non-profit Organizations: Non-profit organizations may utilize DEA comparisons to assess the efficiency of their programs, allocate resources effectively, and demonstrate their impact to donors or funding agencies.
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Data envelopment analysis comparison is a method used to compare the relative efficiency of decision-making units.
Any organization or entity that wants to evaluate its efficiency and performance.
You need to collect data on inputs and outputs, choose appropriate DEA model, and analyze the results.
The purpose is to identify inefficient decision-making units and provide insights for improvement.
Inputs, outputs, efficiency scores, and recommendations for improvement.
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