Case Study: a large 4,500-bed community health network detects sepsis 19 hours earlier with Zymr's IoMT early warning platform

a large 4,500-bed community health network detects sepsis 19 hours earlier with Zymr

The customer, a large 4,500-bed community health network, struggled with delayed sepsis detection due to fragmented monitoring and manual screening processes. This reliance on intermittent checks and siloed data limited real-time visibility into patient deterioration, impacting clinical outcomes. To address this, the health network partnered with vendor Zymr to implement an AI-powered IoMT clinical decision support platform.

Zymr engineered a scalable platform that enabled continuous patient monitoring and real-time risk analysis. The solution integrated data from medical devices and used predictive analytics to identify sepsis patterns earlier. As a result, Zymr's system delivered sepsis risk alerts up to 19 hours earlier, reduced sepsis-related mortality, and standardized detection workflows across departments for faster clinical response times.