How I built a polished Healthcare Analytics dashboard (Figma + Power BI) — step-by-step

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Intro (TL;DR)
I built a modern Healthcare Analytics dashboard (public healthcare data) using Power BI for visuals and Figma for background design. In this post I’ll show exactly how I prepared the data, built the report, styled the UI in Figma, exported two image variants (with and without background), and produced a mockup for sharing. If you want the full PBIX file, comment PBIX on my LinkedIn post and I’ll send it.

1) What I used

  • Power BI Desktop (latest stable)

  • Figma (for background & assets)

  • Public healthcare dataset (you can use any CSV / public API)

  • Optional: image editor (Photoshop / GIMP) for quick exports

2) Prepare the data

  1. Locate and inspect the dataset — column names I used: insured amount, patient id, hospital id, doctor id, date, age, gender, medical_condition, provider, etc.

  2. Clean & standardize — remove duplicates, fix datatypes (Date, Numeric), trim text, fill nulls where appropriate. In Power Query: Replace Values, Detect Data Type, Remove Duplicates.

  3. Split & normalize — if a column contains combined info (e.g., “provider – code”) split into separate columns. Create lookup tables for Providers, MedicalConditions, Dates (Date table).

  4. Date table — create a proper calendar table (continuous dates) and mark it as Date table in Power BI.

3) Data model & key measures (DAX)

Create relationships: facts → (Date, Provider, Condition). Keep model star-shaped.

Example DAX measures I used:

dax

Total Insured Amount = SUM( FactHealthcare[InsuredAmount] )

Total Patients = DISTINCTCOUNT( FactHealthcare[PatientID] )

Hospitals Count = DISTINCTCOUNT( FactHealthcare[HospitalID] )

Doctors Count = DISTINCTCOUNT( FactHealthcare[DoctorID] )

Create measures for gender-splits and KPIs:

dax
Patients_Female = CALCULATE( [Total Patients], FactHealthcare[Gender] = "Female" )
Patients_Male = CALCULATE( [Total Patients], FactHealthcare[Gender] = "Male" )

Use FORMAT() for display-friendly KPIs (e.g., FORMAT([Total Insured Amount]/1e9, "0.00") & "bn").

4) Build visuals in Power BI

Design components shown in my dashboard:

  • Top KPI cards — Insured Amount, Total Patients, Hospitals Count, Doctors Count, Providers. Use Card visuals inside bordered containers; apply gradient backgrounds in the format pane.

  • Age by Gender table — small table visual for age buckets with totals.

  • Line chart — Total amount by Age & Gender (use Small multiples or Legend for gender).

  • Stacked bar — Count by Year & Gender (use Bar chart with year on axis)

  • Donut chart — Total Amount by Gender (center text with a Card visual overlay for value)

  • Area/Line combo — Total Amount by Medical Condition and Gender (use Area chart + Line combination).

  • Table for providers — Basic table with conditional formatting (abnormal/inconclusive count, total).

Tips:

  • Use Bookmarks + Buttons if you want “toggle female/male” presets.

  • Use Sync slicers to keep filters in sync across pages.

  • Keep visuals to a practical minimum to preserve performance.

5) Visual design — Figma + Power BI

Designing background in Figma

  1. Create a 16:9 canvas with the same resolution you’ll use in Power BI (e.g., 1920×1080).

  2. Design a soft gradient or pattern that matches your brand. Add a framed area where the report will sit (margin guides). Export two versions:

    • Dashboard image WITH background (full composition).

    • Dashboard image WITHOUT background (transparent region where the report lives) — export PNG with transparency or export separate elements so you can overlay them inside Power BI.

  3. Use subtle shapes, gradients, and card shadows — keep center area lower contrast so visuals are readable.

Applying background in Power BI

  • Format → Page background → Add image (set Fit to Fit or Fill; adjust transparency).

  • Alternatively, place the background as a large Image visual at the back and lock it with Selection Pane → Bring to Back.

  • Make sure the background contrast doesn’t reduce datapoint readability.

6) Export variants for sharing

I exported two images (as you said you have):

  • dashboard_no_bg.png — report visuals only (transparent/clean, for mockups or overlay).

  • dashboard_with_bg.png — full screenshot with Figma background applied (for final presentation).

How to export:

  • Use Power BI Desktop: File → Export → Export to PDF / or Use Snip & Sketch / high quality screenshot tools.

  • For export with transparent background you’ll need to export visuals and composite them via Figma or an image editor (Power BI doesn’t natively export a transparent background for the entire report canvas).

7) Creating a mockup (what I did)

I created a laptop mockup that places the version with the Figma background on the laptop screen and the “no background” version as a floating overlay in front — great for social media and blogs. You can reproduce this in Figma/Canva by:

  1. Use a laptop device frame asset (search “laptop mockup” in Figma or free mockups).

  2. Place the with_bg screenshot on the screen.

  3. Place no_bg screenshot as a foreground card, add shadow and slight rotation.

  4. Export high-res PNG for LinkedIn/blog.

Download the mockup I generated: Dashboard mockup image

8) Performance & polish

  • Avoid too many high-card visuals on one page — they increase load.

  • Use aggregations where possible — import pre-aggregated data for very large datasets.

  • Reduce visuals that use heavy custom visuals; use native visuals for better performance.

  • Use Query Folding in Power Query to push transformations to source when possible.

9) Publish & share

  • Publish to Power BI Service → Create App workspace → Publish.

  • Adjust permissions (Private workspace, share with selected users).

  • If you want to share a public sample, use Publish to web (be aware of data sensitivity — avoid PHI).

  • For LinkedIn and blog: share screenshots, a short explainer, and a CTA to download PBIX.

10) Files & next steps

If you want the PBIX file, comment PBIX on my LinkedIn post (or reply here) and I’ll send it.
If you want, I can also:

  • Provide the exact PBIX used to generate these screenshots.

  • Export social media-ready image sizes.

  • Provide a zip with PNG assets and the Figma source.

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