
Streamlining Healthcare Data For A Hospital Network Using Tableau
About Client
A Multi-Hospital Healthcare Provider
Problem Statement
The client stated: “We struggle to track patient records, hospital occupancy, and resource availability in real-time. Data is scattered across different systems, making it hard to make quick, data-driven decisions for patient care.”
Objectives
- Centralize patient and operational data
- Improve resource allocation with real-time insights
- Enhance patient care through data-driven decision-making
Solutions Offered
- Integrated patient and hospital data into Tableau dashboards
- Created real-time occupancy and resource-tracking tools
- Enabled predictive analytics for patient outcome analysis
- Tools & Technology Stack: Tableau, AWS, Python for predictive modeling
Development Process
- Merged patient records, operational data, and resource tracking
- Designed interactive dashboards for real-time hospital performance monitoring
- Trained hospital administrators and staff on using Tableau effectively
Outcomes
- 40% improvement in resource allocation efficiency
- Faster patient care decisions with real-time insights
- Reduced hospital readmission rates through predictive analytics
Future Implications
Expanding predictive analytics for disease tracking and prevention.
Conclusion
The hospital network can now manage healthcare operations with unified analytics more efficiently and improve patient care.
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