Hospital Patient Data BI Dashboard
Budget: ₹1,500 – ₹12,500 INR
I have a de-identified hospital dataset and I need it transformed into a polished Power BI project that lives both in Desktop and the online Service. The focus is strictly on patient data—admissions, stays, discharges, readmissions, anything that helps hospital leadership understand what is happening with our patients at a glance.
Here is what I’m after:
• A clean data model with intuitive tables and relationships so the report refreshes smoothly.
• Visuals limited to pie charts, bar graphs and line charts, laid out in a single interactive dashboard. Each visual should filter and cross-highlight the others.
• Consistent healthcare-appropriate color palette and clear labeling so non-technical stakeholders grasp insights instantly.
• A short screen-capture video (voice-over in English) walking through the build, the DAX logic and how to navigate the published report in Power BI Service. Keep it concise but thorough enough that a Power BI beginner could follow along.
At hand-off I’ll need the .pbix file, the link (or .pbit) published to my workspace, and the narrated video file.
If something in the data looks off, flag it rather than forcing a workaround—I want accuracy over flash. Let me know your timeline and any clarifications you need so we can get moving quickly.
Here is what I’m after:
• A clean data model with intuitive tables and relationships so the report refreshes smoothly.
• Visuals limited to pie charts, bar graphs and line charts, laid out in a single interactive dashboard. Each visual should filter and cross-highlight the others.
• Consistent healthcare-appropriate color palette and clear labeling so non-technical stakeholders grasp insights instantly.
• A short screen-capture video (voice-over in English) walking through the build, the DAX logic and how to navigate the published report in Power BI Service. Keep it concise but thorough enough that a Power BI beginner could follow along.
At hand-off I’ll need the .pbix file, the link (or .pbit) published to my workspace, and the narrated video file.
If something in the data looks off, flag it rather than forcing a workaround—I want accuracy over flash. Let me know your timeline and any clarifications you need so we can get moving quickly.