Perform data mining activities on two Excel datasets. Prepare a 4-5 page report of findings, including whether datasets accurately depict performance, the use of data sampling methods in strategic decision making, and conclusions and recommendations about improving patient service and staff performance. Include in the report the analysis of the raw data in Excel data analysis tables.
Data mining is a statistical analysis process used to extract data to provide useful information. Beginning with raw data, a data analyst organizes the data, rearranges it, and then searches for patterns. After identifying the patterns, the analyst can turn the data into usable information. In this assessment you will perform data mining activities and apply the results to different uses in health care information settings.
DEMONSTRATION OF PROFICIENCY
By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria:
Competency 3: Use data analysis skills to support health information integrity and data quality.
Analyze data samples.
Explain how to use data sampling methods and data mining to inform strategic decision making.
Recommend quality of care improvements based on statistical analysis.
Competency 4: Apply statistical strategies to analyze health care data.
Organize raw data.
Perform data mining activities.
Competency 5: Communicate in a professional manner to support health care data analytics.
Create a clear, well-organized, professional document that is generally free of errors in grammar, spelling, and punctuation.