WGU D547 Evidence-Based Healthcare Administration Data Analysis 2026 update
Evidence-Based Healthcare Administration – D547
APN1-TASK 1: DATA ANALYSIS
Name
ID
Date: 02/20/25
A1 (The data I chose to use)
Selected Data:
1. Subgroup: Age
2. Primary diagnosis: Symptoms, signs, and abnormal clinical and laboratory
findings and Mental, behavior, and neurodevelopmental disorders (but you
still have to include the rest of the diagnosis but remember to remove any
that are missing data)
3. Most commo reason for visit: Other symptoms/problems related to
psychological and mental disorders and Shortness of breath
A2. (Recap of what you will have in your Spreadsheet; these are the 3 notable variables
I selected)
• 545,881,908 more ED visits for primary diagnosis of Symptoms, signs, and
abnormal clinical and laboratory finds in age group 18-44 then there were for
Mental, behavior, and neurodevelopmental disorders for the same age group
• 40,413,144 less females are seen for Other symptoms/problems related to
psychological and mental disorders then Stomach and abdominal pain, cramps,
and spasms
• 254,903,381 more Females visited the Emergency Dept in general then
,malesA3. See excel spreadsheet
, Instructions on what is needed in the spreadsheet and how to create your pivot table
and chart – Hope this helps
• Download the Estimates_of_Emergency_Dept and save it to your laptop/desktop
o KeyPoints
▪ Leave the main ED estimates as your main tap (reason why I had to
resubmit a 2nd time)
▪ Add filters by highlighting your sections (A-L), from the toolbar click
“Sort & Filter. This gives you the dropdown options next to each data
row
▪ For each pivot table I renamed the Measure to either Primary diagnosis
or Most common Reason for visit
• Changed it back once I created the pivot table in a new tab
o KeyPoints for Pivot table chart
▪ When filtering make sure to have 2016-2021 checked
▪ Filter “Measure Type” by primary diagnosis
▪ For Measure (or if you changed the name to Primary Diagnosis)
select all with the exception of “All Diagnosis” (this is generalized
and not needed)
▪ Group: filter by either Sex, Age, Race/ethnicity, Region, or type of
payment/insurance used (only leave what you need checked)
▪ Filter your subgroups (or if you renamed this by whatever you chose to
focus on): either by gender, age group, insurance, or region
▪ Estimate Type: filter by Visit Count (filter and unselect rate)
▪ Estimate: (I changed it to Visit Count)
• Make sure to unselect any blanks in this column
▪ Other three columns are not needed buy you can leave it on the main
ED tab
o Undo your filters and change names for your next pivot table
o Once Pivot tables are complete, I changed the names back on the main
Estimates of ED
o Pivot time
Evidence-Based Healthcare Administration – D547
APN1-TASK 1: DATA ANALYSIS
Name
ID
Date: 02/20/25
A1 (The data I chose to use)
Selected Data:
1. Subgroup: Age
2. Primary diagnosis: Symptoms, signs, and abnormal clinical and laboratory
findings and Mental, behavior, and neurodevelopmental disorders (but you
still have to include the rest of the diagnosis but remember to remove any
that are missing data)
3. Most commo reason for visit: Other symptoms/problems related to
psychological and mental disorders and Shortness of breath
A2. (Recap of what you will have in your Spreadsheet; these are the 3 notable variables
I selected)
• 545,881,908 more ED visits for primary diagnosis of Symptoms, signs, and
abnormal clinical and laboratory finds in age group 18-44 then there were for
Mental, behavior, and neurodevelopmental disorders for the same age group
• 40,413,144 less females are seen for Other symptoms/problems related to
psychological and mental disorders then Stomach and abdominal pain, cramps,
and spasms
• 254,903,381 more Females visited the Emergency Dept in general then
,malesA3. See excel spreadsheet
, Instructions on what is needed in the spreadsheet and how to create your pivot table
and chart – Hope this helps
• Download the Estimates_of_Emergency_Dept and save it to your laptop/desktop
o KeyPoints
▪ Leave the main ED estimates as your main tap (reason why I had to
resubmit a 2nd time)
▪ Add filters by highlighting your sections (A-L), from the toolbar click
“Sort & Filter. This gives you the dropdown options next to each data
row
▪ For each pivot table I renamed the Measure to either Primary diagnosis
or Most common Reason for visit
• Changed it back once I created the pivot table in a new tab
o KeyPoints for Pivot table chart
▪ When filtering make sure to have 2016-2021 checked
▪ Filter “Measure Type” by primary diagnosis
▪ For Measure (or if you changed the name to Primary Diagnosis)
select all with the exception of “All Diagnosis” (this is generalized
and not needed)
▪ Group: filter by either Sex, Age, Race/ethnicity, Region, or type of
payment/insurance used (only leave what you need checked)
▪ Filter your subgroups (or if you renamed this by whatever you chose to
focus on): either by gender, age group, insurance, or region
▪ Estimate Type: filter by Visit Count (filter and unselect rate)
▪ Estimate: (I changed it to Visit Count)
• Make sure to unselect any blanks in this column
▪ Other three columns are not needed buy you can leave it on the main
ED tab
o Undo your filters and change names for your next pivot table
o Once Pivot tables are complete, I changed the names back on the main
Estimates of ED
o Pivot time
