QlikView Customer Snapshot – Ochsner Health System
Company Size
1,000+
Region
- America
Country
- United States
Product
- QlikView
- SIS Analytics
Tech Stack
- Data Analytics
Implementation Scale
- Departmental Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Predictive Maintenance
- Remote Asset Management
Services
- Data Science Services
About The Customer
Ochsner Health System is a leading healthcare organization that includes a main campus hospital and clinic as well as 24 clinics throughout its region. It is widely recognized as a center of excellence for research, patient care, and education. Ochsner has approximately 475 beds, 18 operating rooms, and supports 13,543 surgeries per year. The organization is headquartered in New Orleans, Louisiana. It is a non-profit organization with 7,000 employees.
The Challenge
Ochsner Health System, a leading healthcare organization, was facing challenges in shifting from a reactive mode to proactive decision-making. They wanted to gain a complete understanding of the performance metrics of their clinical operations. The organization was struggling to monitor surgical room utilization and turnaround times to maximize capacity. They also wanted to identify long turnaround times between cases in the operating room to streamline the process. Another challenge was to measure surgical room utilization and its impact on revenue generation as 70% of revenue was driven from surgeries. They also needed to assess the number of procedures and costs by case for manual surgery versus potential for robotic surgery.
The Solution
Ochsner Health System deployed QlikView to 20 users across 2 functions in the US. The functions were Clinical Operations Analysis and Resource Planning Analysis. For Clinical Operations Analysis, QlikView was used to monitor surgical room utilization and turnaround times to maximize capacity. It also helped to identify long turnaround times between cases in the operating room to streamline the process. For Resource Planning Analysis, QlikView was used to measure surgical room utilization and its impact on revenue generation as 70% of revenue was driven from surgeries. It also helped to assess the number of procedures and costs by case for manual surgery versus potential for robotic surgery. The implementation was rapid, taking just days with pre-built views with SIS Analytics powered by QlikView. SIS Analytics (QlikView) was leveraged to integrate data across the primary systems for finance, materials, and clinical.
Operational Impact
Quantitative Benefit
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