Saudi Healthcare Analytics Project

Hospital performance and patient outcomes analysis across 15 Saudi Arabian hospitals

By Hebatalla Elgamal

Healthcare Analytics Dashboard

Project Overview

End-to-end healthcare analytics project analyzing hospital performance, patient outcomes, and operational KPIs across 15 Saudi Arabian hospitals. Built with Python, Power BI, and SQL, aligned with Saudi Vision 2030 healthcare transformation goals.

Key Findings

  • Analyzed 3,000+ admissions and 5,000+ treatments across 15 hospitals.
  • Calculated 12 industry-standard healthcare KPIs.
  • Identified Hajj season impact on hospital capacity (7.4% increase).
  • Compared Government vs Private hospital performance.
  • Built interactive 4-page Power BI dashboard.

Tools & Technologies

  • Python: pandas, matplotlib, seaborn, numpy
  • Power BI: Interactive dashboard with DAX measures
  • SQL: Complex queries with JOINs, CTEs, Window Functions
  • Excel: Multi-sheet report with pivot tables

Healthcare KPIs Tracked

KPI Value Benchmark Status
Average Length of Stay 7.97 days 4-5 days ⚠️ High
Bed Occupancy Rate 78.7% 80-85% ⬇️ Low
30-Day Readmission Rate 14.9% <10% ⚠️ High
Patient Satisfaction 3.86/5 >4.0 👍 Good

Project Structure

Saudi-Healthcare-Analytics-Dashboard/
    ├── data/           # 10 CSV datasets
    ├── charts/         # 8 Python visualizations
    ├── Healthcare_Analysis.ipynb
    ├── Healthcare_KPI_Dashboard.xlsx
    ├── Healthcare_Analytics_Report.xlsx
    ├── Healthcare_Analytics_Dashboard.pbix
    └── Healthcare_Analytics_Dashboard.pdf

Dataset Description

Detailed breakdown of the multi-dimensional dataset used for this analysis:

  • 15 Hospitals: A diverse mix of facilities across various regions in Saudi Arabia.
  • 500 Patients: Detailed demographics including age, gender, and nationality.
  • 3,000 Admission Records: Complete tracking from check-in to discharge.
  • 5,000 Treatment Records: Documented medical procedures and clinical interventions.
  • 4,000 Lab Results: Integrated laboratory data for comprehensive clinical insights.
  • 2,000 Satisfaction Surveys: Patient-reported experience measures (PREMs).

Vision 2030 Alignment

Strategic Goal: This project is directly aligned with the Health Sector Transformation Program under Saudi Vision 2030.

By leveraging advanced analytics to optimize hospital operations, improve patient outcomes, and enhance resource allocation, this work demonstrates the power of data-driven decision making in building a world-class healthcare ecosystem for the Kingdom.