Case Study: Community Health Network detects sepsis 19 hours earlier with Zymr’s real-time clinical analytics platform

Community Health Network detects sepsis 19 hours earlier with Zymr

The customer, Community Health Network, a 4,500-bed health system, faced significant challenges in identifying patients at risk of clinical deterioration. Their clinicians relied on disconnected monitoring systems and delayed reporting, making early detection of conditions like sepsis difficult. To overcome these siloed data sources and high false-positive rates from traditional alerts, the organization partnered with Zymr to implement a real-time clinical analytics platform.

Zymr developed a scalable, cloud-native streaming analytics platform that unified IoMT telemetry and clinical data. This solution applied AI-driven predictive models to identify early indicators of sepsis and delivered real-time risk alerts directly into clinical workflows. As a result, Community Health Network was able to detect sepsis nearly 19 hours earlier and achieved a 29% reduction in sepsis-related mortality, significantly improving patient outcomes.

Community Health Network