TIBCO Software Case Studies University of Chicago Medicine Improves Patient Care with Data
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University of Chicago Medicine Improves Patient Care with Data

TIBCO Software
Analytics & Modeling - Predictive Analytics
Application Infrastructure & Middleware - Data Exchange & Integration
Application Infrastructure & Middleware - Data Visualization
Application Infrastructure & Middleware - Middleware, SDKs & Libraries
Healthcare & Hospitals
Business Operation
Quality Assurance
Predictive Maintenance
Process Control & Optimization
Real-Time Location System (RTLS)
Remote Patient Monitoring
Software Design & Engineering Services
System Integration
Some of the challenges that U Chicago Medicine needed to resolve were how to effectively share data across a large number of disparate systems. They had silos within technology as well as functional areas, and needed to change their culture. If they were not able to resolve these challenges, ultimately, the quality and safety of their care delivery system could be impacted.
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Combining compassionate patient care and groundbreaking medical and biological research, the University of Chicago Medicine (U Chicago Medicine) is at the forefront of facing the world’s most pressing medical challenges. As one of the nation’s leading academic medical centers, their goal is to deliver superior healthcare and be a leader in the industry through advancements in medical innovation and serving health needs. They are driven by the move from a transactional to a value-based business model, influenced by both patients and regulators.
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U Chicago Medicine needed a technology platform that allowed them to integrate systems and centralize data to get information into the hands of the people who need it. They chose TIBCO technologies, including TIBCO BusinessEvents® streaming analytics, TIBCO BusinessWorks™ integration, TIBCO Enterprise Messaging Service™ messaging middleware, TIBCO HAWK® monitoring and management, and TIBCO Spotfire® data analytics. Their perioperative services, operating room, and quality teams collaborated with IT, meeting each week for three months to iterate requirements, prototypes, and solutions. Prototypes were tested to ensure the solution would fit the need and allowed for business process optimization.
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Implemented eCART solution using streaming analytics and a predictive algorithm to predict cardiac arrest, reducing the number of cardiac arrests by an estimated 15 to 20%.
Real-time alerts were implemented, with information flowing through the TIBCO platform from various monitoring devices, allowing for immediate response.
Increased operating room efficiency by leveraging real-time analytics, reducing delays, and increasing capacity. This included creating workflows that support immediate adjustments and service recovery for staff involved in surgeries.
Anticipated cost savings of up to $600,000/year in operating margins.
Decreased turnover time in operating rooms by 15–20% (4 minutes/room).
Additional $500K in savings anticipated with further reduction in turnover time by another 15–20%.
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