The client is a 4,500-bed community health network managing high patient volumes across multiple care facilities. The organization needed a scalable way to connect bedside monitors and patient wearables with clinical workflows to improve early sepsis detection and reduce manual documentation burden on nursing staff. To support this initiative, the health network partnered with Zymr.
The health network relied on disconnected monitoring systems and manual workflows to track patient vitals and escalating conditions. Bedside monitors and wearable devices generated large volumes of data, but the information was not integrated into clinical workflows in real time.
Nursing teams were required to manually review device readings and enter observations into EHR systems, increasing administrative workload and delaying intervention opportunities. Critical warning signs for sepsis were often identified too late due to fragmented data visibility.
The absence of a unified IoMT integration strategy also limited the organization’s ability to operationalize real-time patient monitoring at scale. Existing systems lacked interoperability standards needed to connect device data with EHR documentation and alert workflows.
The network required an intelligent IoMT integration platform capable of connecting clinical devices, automating data exchange, and enabling real-time early warning workflows for sepsis detection.
Zymr implemented an IoMT-enabled clinical data integration platform that connected bedside devices, wearable streams, and EHR workflows in real time. The solution improved clinical responsiveness, reduced manual effort, and enabled earlier intervention for high-risk patients.
Zymr designed and implemented an IoMT early warning platform focused on interoperability, real-time data exchange, and clinical workflow integration.