Epic Skills Assessment Data and Chart Interpretation Questions and Answers 2 — Questions and Answers
Question 1: A bar chart shows monthly ER visits: Jan=120, Feb=95, Mar=110, Apr=130. What is the average monthly ER visit count?
- 110
- 113.75 (Correct answer)
- 108
- 115
Correct answer: 113.75
Average = (120+95+110+130)/4 = 455/4 = 113.75.
Mean calculation: total = 120+95+110+130 = 455; divided by 4 months = 113.75. Reading bar charts and computing descriptive statistics is a core skill in Epic's reporting and analytics modules, which display operational metrics across departments and time periods.
Question 2: A pie chart shows hospital department revenue: Surgery 40%, Radiology 25%, ER 20%, Other 15%. If total revenue is $2M, how much did Radiology earn?
- $400,000
- $500,000 (Correct answer)
- $300,000
- $250,000
Correct answer: $500,000
Radiology = 25% of $2,000,000 = $500,000.
25% = 0.25; 0.25 × $2,000,000 = $500,000. Reading pie charts to extract proportional values is essential for Epic revenue cycle analytics. Finance teams use Epic's reporting dashboards to break down revenue by department, payer, and service line.
Question 3: A line graph shows patient satisfaction scores over 5 quarters: 72, 75, 78, 74, 80. What is the trend?
- Consistently declining
- Generally increasing with a dip in Q4 (Correct answer)
- Flat with no change
- Exponentially growing
Correct answer: Generally increasing with a dip in Q4
Scores rise from 72 to 78 (Q1–Q3), dip to 74 (Q4), then reach a new high of 80 (Q5), showing general upward trend with one dip.
Trend analysis requires looking beyond individual data points to the overall direction. Despite the Q4 dip (78→74), the series ends higher than it started (72→80), indicating a positive trend. Epic's patient satisfaction reporting tools use line charts and trend indicators to help leadership monitor service quality over time.
Question 4: A scatter plot of patient age (x-axis) vs. length of stay (y-axis) shows points clustering upward to the right. What does this indicate?
- Negative correlation
- No correlation
- Positive correlation (Correct answer)
- Causation that age increases stay length
Correct answer: Positive correlation
Points moving up and to the right indicate a positive correlation — as age increases, length of stay tends to increase.
Positive correlation means two variables tend to move in the same direction. A scatter plot rising left-to-right visually confirms this. Note: correlation does not prove causation — other factors may explain the relationship. Epic's analytics suite generates correlation reports to identify population health risk factors.
Question 5: A table shows medication error rates by shift: Day 0.5%, Evening 0.8%, Night 1.2%. Which shift has the highest error rate and by how much more than the Day shift?
- Night; 0.7% (Correct answer)
- Night; 0.4%
- Evening; 0.3%
- Night; 1.2%
Correct answer: Night; 0.7%
Night has the highest rate (1.2%). Difference from Day: 1.2% - 0.5% = 0.7%.
Night (1.2%) is highest. Difference vs. Day (0.5%): 1.2 - 0.5 = 0.7 percentage points. This type of comparative table reading is tested in Epic's data interpretation section, mirroring quality improvement dashboards that track error rates, near-misses, and adverse events by shift and unit.
Question 6: A histogram shows patient wait times: 0–10 min: 40 patients; 10–20 min: 60; 20–30 min: 35; 30+ min: 15. What percentage waited under 20 minutes?
- 66.7% (Correct answer)
- 60%
- 53.3%
- 73.3%
Correct answer: 66.7%
Under 20 min = 40+60=100. Total = 40+60+35+15=150. Percentage = 100/150 = 66.7%.
Bins 0–10 (40) and 10–20 (60) = 100 patients. Total = 150. Percentage = 100/150 × 100 = 66.67%. Histograms in Epic's operational reports track wait times, door-to-doctor times, and throughput — critical metrics for patient flow optimization and CMS reporting.
A bar chart shows monthly ER visits: Jan=120, Feb=95, Mar=110, Apr=130.
What is the average monthly ER visit count?