A Prominent Healthcare Provider – Data Analytics
The customer brings together the region’s top clinicians and researchers to provide world-class care. It offers patients a top-notch physician group, hospital services, or health system with the best treatment and care.
![AdobeStock_305700808 (1) shot of doctors walking into the hospital](https://metanxt.com/wp-content/uploads/2022/04/AdobeStock_305700808-1-1.jpg)
The Challenge
The customer created multiple overlapping automatically generated cubes with the restricted tuning possibility, limited functionality, and no naming convention. It approached MetaNXT to develop an analytical system with a universal cube and establish standardized and comprehensive reporting.
The Solution
- MetaNXT delivered a robust and performance-based analytical solution. It is a cloud-based, software-as-a-service application that creates value by transforming a hospital’s raw data — from multiple data sources — into intuitive, interactive, and actionable information.
- Parameter-driven algorithms normalize and clean the data, making it “analytics grade.”
- Our team synchronized data from with the customer’s billing and coding data, as well as data on physician hours and patient satisfaction.
- The core capability of the system was the connection with various clinical and financial data sources
- The machine learning model applied to this data model makes predictions on expected daily emergency room visits with 89% accuracy
The Results
- The customer benefited from the improved analytical process and standardized reporting. Additionally, the consolidation achieved at all levels (database, SSAS, and reporting) simplified the analytical system support.
- Up to a 25% increase in RVUs (Relative Value Unit) within the first year, and improved income as a result
- A higher degree of confidence in data, and a broader understanding of the department
- Physician’s measures, including integrated clinical data, past records, interactions combined to provide holistic individualized feedback
- Increased accuracy in data on incremental throughput times for services provided by other departments to address interdepartmental flow and performance issues
- This model helped emergency room operation teams to organize staff and required equipment in advance, optimizing patient service. Net-net, optimized performance of waiting rooms.
Geographies Served:
USA
Technology Landscape:
Microsoft SQL Server, Microsoft SQL Server Analysis Services (SSAS), Microsoft SQL Server Integration Services (SSIS), Strategy Companion Analyzer.
Team Size: 25+
On-site/Offshore Leverage:
25%-75%
Relationship: 2+ Years
- ROI 100%
- Stakeholder Goodwill 85%
- Increase in Processing Capacity 100%