Categories: Power BI
Tags:

Dashboard visuals idea to present your Patient Blood Test Data in Power BI

Here are some great ideas for dashboard visuals to present Patient Blood Test Data in Power BI:

Dataset Used in the project : Healthcare Analytics Dashboard

1. Patient Overview Section

  • Card Visuals for quick stats:
    • Total Patients
    • Average Age
    • Gender Distribution (Male/Female ratio)
  • Bar/Column Chart: Number of patients by Age Groups (e.g., 20-30, 31-40).

DAX to Create Age Group Columns

Age Group =
SWITCH(
TRUE(),
bloodtest[Age] >= 20 && Patients[Age] <= 30, "20-30", bloodtest[Age] >= 31 && Patients[Age] <= 40, "31-40", bloodtest[Age] >= 41 && Patients[Age] <= 50, "41-50", bloodtest[Age] > 50, "Above 50"
)

2. Hemoglobin Levels

  • Gauge Chart: Display the average Hemoglobin level with ranges (e.g., low, normal, high).
  • Column Chart: Compare Hemoglobin levels across patients.
  • Conditional Formatting Table: Highlight patients with Hemoglobin levels outside the normal range (e.g., below 13 for males or below 12 for females).

3. WBC and Platelet Analysis

  • Scatter Plot: WBC vs. Platelets to identify correlations or outliers.
  • Heat Map: WBC count by Age Group and Gender.
  • Line Chart: WBC and Platelet trends over time if there’s longitudinal data.

4. Glucose Levels

  • Bar Chart: Patients grouped by glucose levels (e.g., Normal <100 mg/dL, Prediabetes 100-125 mg/dL, Diabetes >125 mg/dL).
  • Pie Chart: Percentage of patients in each glucose range.
  • KPI Card: Highlight patients with glucose levels above 125 mg/dL.

5. Cholesterol Insights

  • Histogram: Distribution of Cholesterol levels.
  • Stacked Column Chart: Cholesterol levels by Age Group and Gender.
  • Bullet Chart: Compare patient cholesterol levels to recommended benchmarks.

6. Comprehensive Health Score

  • Custom Measure: Create a Health Score based on normalized values of all metrics (Hemoglobin, WBC, Platelets, Glucose, Cholesterol).
  • Treemap: Display patients’ health scores categorized by ranges (e.g., Excellent, Good, Poor).

7. Demographic Insights

  • Donut Chart: Gender Breakdown.
  • Age Pyramid: Split age distribution by gender.

8. Interactive Patient Table

  • Table Visual with Filters:
    • Include Patient Name, Age, Gender, and their respective test values.
    • Allow filtering by age range, gender, or specific test abnormalities.

9. Abnormal Value Highlight

  • Conditional Formatting: Highlight cells in a table or matrix that are outside normal ranges for each test parameter.
  • Alert Bar: Number of patients with abnormal levels for each test.

10. Multi-Metric Comparison

  • Radar Chart: Compare multiple metrics (Hemoglobin, WBC, Platelets, Glucose, Cholesterol) for selected patients.
  • Matrix Chart: Summarize averages by gender and age group.

11. Filters and Slicers

  • Add interactive slicers for:
    • Gender
    • Age Range
    • Specific Tests (e.g., filter to only show glucose-related visuals).

Do any of these ideas stand out? Let us know in the comments section