Canadian Healthcare Network Enhances Patient Care with AI Solutions Powered by CData Virtuality

The challenge: Secure data delivery across diverse sources for AI applications

This healthcare network operates multiple hospitals, each generating vast amounts of patient and operational data from various sources. It determined that AI implementation in healthcare is a core strategic pillar in delivering efficient, effective patient care.

The organization faced significant challenges in integrating this data into a cohesive system for AI applications.

Key issues included:

• Data silos: Disparate systems hindered the ability to access and analyze data effectively.
• Real-time processing needs: Many AI solutions required immediate data access, which was not feasible with existing infrastructure.
• Resource constraints: Despite a dedicated data science team and a substantial budget, the complexity of healthcare data posed challenges in deploying AI solutions rapidly.

The solution: Unified data integration with CData Virtuality

To address these challenges, the healthcare organization implemented CData Virtuality, a data virtualization platform that enabled seamless integration of live data from multiple sources.

This solution provided:

• Real-time data access: Allowed for real-time querying and access to data without complex ETL processes, streamlining the integration of diverse data sources.
• Scalability: The platform's architecture supported the organization’s growing data needs as it expanded its AI initiatives.
• Enhanced collaboration: Facilitated collaboration between clinicians and data scientists, ensuring that AI solutions were developed with real-world clinical needs in mind.

"Some of our solutions – they’re in the now…and we need data second-by-second. So, we’re heavy into data virtualization, and that enables us to have real-time data feeds.”

―Vice President of Data Science and Advanced Analytics

The outcome: 26% reduction in unexpected mortality

The partnership with CData Virtuality has led to transformative outcomes:

• Improved patient outcomes: AI solutions like ChartWatch, which monitors patients hourly to predict mortality and ICU admissions, have reduced unexpected mortality by 26%. The AI system for detecting intracerebral hemorrhages has ensured timely interventions, potentially saving lives.
• Increased efficiency: The AI scribe tool has significantly reduced the administrative burden on clinicians, freeing up 3-4 hours per week for direct patient care, as reported by 75% of users.
• Accelerated innovation: With streamlined data integration, the healthcare operator has developed and deployed over 50 AI applications, addressing critical areas such as diagnosis, prognosis, and treatment.
• Cost savings: Optimizing data workflows has led to cost efficiencies, allowing the organization to reinvest in further innovations.

Looking forward

The AI-ready healthcare network continues to expand its use of CData Virtuality, with plans to integrate additional data sources and enhance its AI capabilities. The scalability and flexibility of the solution provide predictability and cost-effectiveness as data volumes grow. The organization remains committed to leveraging AI to improve patient care and operational efficiency, setting a benchmark for healthcare organizations across Canada.

Experience the power of CData Virtuality

For more detail on this healthcare network’s underlying data service architecture and implementation of CData Virtuality, please visit our technical case study. Whether managing complex hybrid environments or scaling for growth, CData Virtuality provides the reliability and flexibility needed to support your data integration needs. Contact us today to learn more about how CData can help you achieve real-time data access across disparate systems.