Strategy and Solutions
The client is a 4,500-bed community health network delivering acute and specialty care across multiple hospitals. Clinicians relied on disconnected monitoring systems and delayed reporting, making it difficult to identify patients showing early signs of clinical deterioration. To improve patient outcomes through real-time insights, the health network partnered with Zymr.
The health network managed thousands of patients across multiple facilities, generating continuous streams of data from bedside monitors, connected medical devices, EHRs, and laboratory systems. However, these data sources operated in silos, preventing clinicians from obtaining a unified, real-time view of patient health.
Traditional rule-based alerting systems generated excessive false positives and often identified sepsis only after patients had significantly deteriorated. Clinicians also lacked predictive insights that could help prioritize high-risk patients and initiate timely interventions.
The organization required a scalable real-time clinical analytics platform capable of ingesting high-volume telemetry data, applying AI-driven predictive models, and delivering actionable alerts directly into clinical workflows.
Zymr implemented a real-time clinical analytics platform that unified IoMT telemetry, clinical records, and AI-powered predictive models into a single monitoring environment. The solution enabled clinicians to detect patient deterioration earlier, reduce response times, and improve overall clinical outcomes.
Zymr developed a scalable streaming analytics platform designed to continuously monitor patient health, detect early signs of deterioration, and support faster clinical decision-making.
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