Improving clinical care with real-time data integration at the Waterloo Regional Health Network

Developing data integration and analytics tools to support real-time decision-making and continuous quality improvement in health care

Laurie Lafleur, School of Health & Life Sciences

About the Waterloo Regional Health Network

The Waterloo Regional Health Network provides health-care services across the Waterloo Region and is committed to improving patient care through innovation, data-informed decision-making, and continuous quality improvement.

The challenge

Clinical data was distributed across multiple systems, making it difficult to efficiently monitor performance, track outcomes, and support quality improvement initiatives. The project aimed to improve access to meaningful data and create tools that support informed clinical and operational decision-making.

Approach

• Assessed clinical workflows and data collection processes
• Integrated data from multiple sources to support analytics and reporting
• Developed a real-time dashboard to visualize key performance indicators
• Standardized clinical documentation through enhanced data collection tools
• Created a framework to guide future analytics initiatives and implementation efforts

Results

• Developed a live Tableau dashboard to support performance monitoring and reporting
• Improved consistency and quality of clinical data collection through standardized PowerForms
• Created a framework for future analytics and quality improvement initiatives
• Enhanced access to data that supports clinical and operational decision-making
• Established a foundation for future student-led enhancements and expansion

Why it matters

This project demonstrates how integrated data and analytics can support better health-care delivery and continuous improvement. The work helps:

• Improve visibility into clinical performance and outcomes
• Support more informed decision-making across care programs
• Strengthen data quality and consistency
• Create a scalable approach to health-care analytics initiatives
• Provide experiential learning opportunities for students through ongoing development

This project was supported with funding from Mitacs.