Strategy and Solutions
The client is a large 4,500-bed community health network operating across ICU, step-down, and medical-surgical units. The organization struggled with delayed sepsis detection due to fragmented monitoring workflows and reliance on manual screening processes. Limited real-time visibility into patient deterioration impacted response times and clinical outcomes. To improve early intervention capabilities and reduce sepsis-related mortality, the health network partnered with Zymr.
The health network relied heavily on intermittent patient monitoring and manual screening workflows to identify early signs of sepsis. Clinicians often depended on periodic chart reviews and isolated vital sign checks, making it difficult to detect patient deterioration in real time.
Patient data from bedside monitors, infusion pumps, and other connected medical devices remained siloed across systems, limiting the ability to create a unified clinical risk view. Existing workflows also lacked automated intelligence capable of continuously analyzing patient vitals and identifying emerging sepsis patterns.
Clinical teams faced alert fatigue from non-contextual notifications, reducing confidence in escalation workflows and slowing intervention times. Additionally, sepsis screening processes varied between departments, creating inconsistencies in care delivery and response protocols.
The organization needed an IoMT-powered early warning system capable of continuously monitoring device data, predicting sepsis risk earlier, and surfacing actionable recommendations directly within clinician workflows.
Zymr implemented an AI-powered IoMT clinical decision support platform that enabled continuous patient monitoring, real-time risk analysis, and earlier sepsis intervention across inpatient care environments.
Zymr engineered a scalable IoMT-enabled clinical intelligence platform designed to improve early sepsis detection and integrate seamlessly into existing inpatient workflows.
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