Strategy and Solutions
The client is a large multi-hospital healthcare network managing critical care, emergency, and inpatient services across multiple locations. The organization relied on disconnected bedside monitoring systems and manual escalation workflows, limiting the ability to detect patient deterioration early. Clinical teams needed a unified platform capable of aggregating real-time device data and generating predictive insights across facilities. To support this transformation, the healthcare network partnered with Zymr.
The healthcare network operated with siloed monitoring systems across hospitals, making it difficult to aggregate and analyze patient vitals in real time. Bedside monitors, infusion pumps, and wearable devices generated large volumes of data, but the information was fragmented across departments and facilities.
Clinical staff depended heavily on manual observation and conventional threshold-based alerts, which often delayed the identification of sepsis and patient deterioration. This increased the risk of adverse events and prolonged ICU stays.
Operational inefficiencies also affected care coordination. Nurses and physicians lacked centralized visibility into high-risk patients, leading to delayed escalations and inconsistent response workflows.
The network also faced challenges integrating IoMT device data with existing EHR and clinical systems. Without a scalable interoperability framework, real-time analytics and predictive modeling initiatives were difficult to implement.
The organization needed an enterprise-grade IoMT platform capable of aggregating streaming device data, enabling predictive early warning models, and improving clinical response times across hospitals.
Zymr developed a centralized IoMT early warning platform that unified device data, enabled predictive analytics, and improved clinical response workflows across the hospital network.
Zymr engineered a scalable IoMT platform designed to aggregate device telemetry, process streaming clinical data, and support proactive patient care.
.svg)
.svg)
.svg)
.svg)
.svg)
.svg)