Strategy and Solutions
The client was a large community health network operating more than 4,500 beds across multiple acute care facilities. Like many hospital systems, the network faced challenges in detecting patient deterioration early, particularly sepsis, where delayed intervention significantly increases mortality risk. Clinical data was spread across bedside monitors, infusion pumps, and wearable devices, but not analyzed cohesively in real time.
To improve patient safety and outcomes, the network partnered with Zymr to deploy an Internet of Medical Things (IoMT) platform capable of aggregating device data and enabling early warning analytics.
Critical patient data was generated continuously by medical devices but analyzed in isolation or retrospectively. Clinicians relied on manual monitoring and periodic assessments, which made early detection of sepsis and other adverse events difficult. The network needed a platform that could ingest high-frequency device data, correlate signals across sources, and surface actionable alerts without overwhelming clinical staff or disrupting existing workflows.
Zymr helped the community health network turn real-time device data into life-saving intelligence. By enabling earlier detection of sepsis through an IoMT-driven early warning system, the network significantly improved patient outcomes while strengthening its digital clinical infrastructure.
Enhanced Patient Safety Outcomesea
Zymr designed and implemented a scalable IoMT and early warning analytics platform across the hospital network.
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