__STYLES__
Tools used in this project
Healthcare Data Analysis Dashboard

About this project

The Healthcare Data Analysis Dashboard is a comprehensive tool designed to analyze healthcare data from various insurers, providing insights into billing amounts, recovery rates, gender distribution, and medical conditions. By aggregating data by age groups and leveraging advanced DAX calculations, this dashboard uncovers key trends and patterns that aid in decision-making for healthcare providers and insurers.

Key Features

  1. Top Insurer by Total Settlements:
    • Highlights the insurer with the highest total settlements, making it easier to identify key players in the healthcare market.
  2. Average Metrics:
    • Average Billing Amount: Shows the average billing amount per patient.
    • Average Recovery Rate: Displays the average recovery time in days.
  3. Gender Distribution:
    • Visual representation of the gender distribution in net recovery rates, billing amounts, and emergency cases.
  4. Disease and Insurer Analysis:
    • Most Costed Disease by Insurer: Bar chart displaying the most expensive medical conditions for each insurer.
    • Distribution of Admission Types: Compares the types of admissions (Elective, Urgent, Emergency) for each insurer.
    • Average Frequency of Admissions: Line chart showing the daily admission frequency for each insurer.
  5. Age Group Analysis:
    • Total Medical Expenditure by Age Group: Pie chart summarizing the total medical expenditure across different age groups.
    • Major Diseases by Age Group: Identifies the most common medical conditions within each age group.
    • Favourable Insurer for Each Age Group: Bar chart showing the most preferred insurers for different age groups.

Technical Implementation

  • Data Source: Healthcare dataset containing information on insurers, medical conditions, billing amounts, recovery rates, and patient demographics.
  • Tools Used: Power BI Desktop for data visualization, advanced DAX (Data Analysis Expressions) for complex calculations and aggregations.
  • Advanced DAX Calculations: Used to aggregate data by age groups, calculate average metrics, and determine the most costed diseases and preferred insurers.

Usage Scenario

This dashboard is intended for healthcare administrators, insurance companies, and policymakers who need to monitor and analyze healthcare data. It provides valuable insights into financial metrics, patient demographics, and medical conditions, enabling stakeholders to make informed decisions, optimize healthcare services, and improve patient outcomes.

Benefits

  • Enhanced Decision-Making: Provides data-driven insights for strategic planning and resource allocation.
  • Comprehensive Analysis: Aggregates data across multiple dimensions, offering a holistic view of the healthcare landscape.
  • User-Friendly Interface: Interactive and visually appealing dashboard, making complex data easily understandable.

By leveraging the power of data visualization and advanced analytics, the Healthcare Data Analysis Dashboard aims to improve the efficiency and effectiveness of healthcare services, ultimately contributing to better patient care and optimized operational performance.

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