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Queensway Carleton Hospital Meets Performance-Based Funding Objectives
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
- Quality Assurance
Use Cases
- Predictive Maintenance
- Process Control & Optimization
Services
- Data Science Services
The Challenge
Queensway Carleton Hospital (QCH) was struggling to comply with Canada’s performance-based funding model. The staff needed self-service analytic dashboards that could correlate information from diverse sources. The hospital was under increased financial pressure due to Canada’s performance-based funding system. This payment model rewards physicians, hospitals, and medical groups for meeting quality and efficiency measures, while penalizing poor outcomes, medical errors, and runaway costs. Complying with these funding requirements involves analyzing hospital processes, reviewing patient outcomes, identifying areas for improvement, and predicting patient trends. The hospital needs to be able to easily access, combine, and analyze a broad array of data to determine how much funding it will receive. To meet these and other information management requirements, QCH used to have four full-time employees focused solely on creating and managing reports. Yet even with that sustained effort, it was difficult to obtain accurate clinical data that revealed what was happening in the emergency room and other cornerstone programs, such as childbirth, geriatrics, mental health, rehabilitation, and medical and surgical services.
About The Customer
Queensway Carleton Hospital (QCH) is an urban community hospital that is committed to providing high-quality patient care through each of its cornerstone programs. Employing about 1,900 healthcare professionals and more than 500 volunteers, QCH serves about 400,000 Ontario residents. Like many hospitals in Canada, QCH is under increased financial pressure due to Canada’s performance-based funding system. This payment model rewards physicians, hospitals, and medical groups for meeting quality and efficiency measures, while penalizing poor outcomes, medical errors, and runaway costs. Complying with these funding requirements involves analyzing hospital processes, reviewing patient outcomes, identifying areas for improvement, and predicting patient trends. The hospital needs to be able to easily access, combine, and analyze a broad array of data to determine how much funding it will receive.
The Solution
Pitfield’s interdisciplinary team, which oversees the hospital’s data analysis activities, is implementing a new analytic environment using Information Builders’ business intelligence and analytics platform and data integration technologies. A major advantage of Information Builders’ product line was its robust backend connectivity and built-in ETL tools. He decided to use DataMigrator to streamline connectivity to the new analytic system. Information Builders’ Professional Services helped QCH design a new data model for the MEDITECH and Med2020 information. Pitfield and other members of the in-house team can easily add additional data sources, change the formatting, or modify the original data sources on their own. The team is also using WebFOCUS to build a new front-end environment for self-service analytics that contain several InfoApps™. According to Pitfield, the new Portal will soon be a “one-stop shop” for centralizing information from many different areas.
Operational Impact
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