Case Study: Community Health Network achieves 19-hour earlier sepsis detection with Zymr's IoMT platform

Community Health Network detects sepsis 19 hours earlier with Zymr

The customer, Community Health Network, faced challenges in proactively detecting sepsis due to its reliance on manual screening methods and fragmented data from IoMT devices and EHR systems. This delayed identification of critical patient deterioration. To address this, the health network partnered with vendor Zymr to build a predictive, real-time clinical monitoring platform.

Zymr implemented a scalable, AI-powered platform that integrated real-time IoMT data, standardized EHR information, and extracted features from nursing notes using advanced language models. The solution developed machine learning models for early sepsis detection. As a result, Zymr's platform achieved sepsis detection 19 hours earlier, contributed to a 29% reduction in patient mortality, and successfully processed over 2 million monthly sensor events with sub-60-second latency.

Community Health Network