HIM- Healthcare Data Visualization
Using the Patient Healthcare Data in the attached Excel file (attached below), construct a 3-D Clustered Column Chart depicting the three healthcare parameters (weight, height, age), and title this chart ” Patient Healthcare Data” at the top center and show Legend at the bottom. After reviewing the data displayed in the chart, answer the following questions supporting your conclusions with logical explanations.
1. Is there any relationship between the Weight and Height of patients? Why did you make this conclusion?
2. Is there any relationship between the Weight and Age of patients? Why did you make this conclusion?
Save this file and submit it to the Week 11 Assignment folder.
Week 11 Patient Healthcare Data File:
Discussions
Discuss why healthcare managers prefer graphical representation of data instead of numerical data used in their decision-making process. Which graphical method or type of chart would you use to demonstrate side-by-side comparison: Readmissions for the last 10-year period and a superimposed trend line showing increase/decrease readmissions? What are merits and demerits of this type of data representation?
Which type of visual representation would you use to present proportions of three readmission causes to the management: early discharge, infections, and non-compliance. What are the advantages and limitations of this method for data visualization?
Follow APA formatting, referencing credible evidence. Only one outside source is allowed. Use the content of this class as the main source of evidence.
Materials
Health Information Management: Concepts, Principles, and Practice: Chapter 18 – Healthcare Statistics: Presentation of Statistical Data, pgs. 508-523.
Data Visualization: a Successful Design Process: Chapter 5 –Taxonomy of Data Visualization, pgs. 119-158.
Statistical Data Presentation:
Other Resources
Graphical Representation of Data
Unit 3 Data Representation
Graphical Representation
Presentations
What is Data Visualization in 3 minutes ?
Visualizing Your Healthcare Data
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