Strategy and Solutions
The client is a community health network focused on delivering proactive and data-driven patient care across multiple facilities. With increasing patient volumes and reliance on manual screening methods, early detection of critical conditions like sepsis remained a challenge. To address this, the network partnered with Zymr to build a predictive, real-time clinical monitoring platform leveraging IoMT and EHR data.
The health network relied on traditional screening methods and periodic vital checks, which often delayed the identification of early sepsis indicators. Lack of continuous monitoring and real-time data analysis limited the ability to intervene proactively.
Data fragmentation across IoMT devices, EHR systems, and nursing assessments created challenges in building a unified patient view. Critical signals were often missed due to disconnected systems and the absence of intelligent data processing.
Additionally, the growing volume of patient data made it difficult for clinicians to manually analyze trends and detect early deterioration patterns. The network required a scalable solution capable of processing high-frequency data streams and delivering timely clinical insights.
Zymr developed and deployed a real-time clinical deterioration detection platform that integrates IoMT sensor data, EHR inputs, and advanced analytics. This enabled early identification of sepsis risk and improved patient outcomes significantly.
Zymr implemented a scalable, AI-powered platform designed to continuously monitor patient health and detect early signs of clinical deterioration.
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