Reported impact
Business outcome
Clinomic reduced documentation errors by 68 percent, saved 550 hours per year per bed, increased patient-care capacity by 143 percent, and reduced hospital transfers by 26 percent while giving care teams a real-time bedside assistant for ICU operations.
- Customer Experience
- Productivity Improvement
- Risk Reduction
- Scalability
Solution
Clinomic built Mona as a bedside intensive-care assistant on NVIDIA Jetson AGX Xavier so data aggregation, documentation support, diagnostics, and telemedicine could run directly in the patient room. The platform integrates third-party and AI applications, aggregates vital signs, lab results, demographics, and imaging inputs, and performs real-time edge processing so hospitals do not depend on cloud connectivity for core ICU workflows. NVIDIA TensorRT accelerates deployed models on Jetson, while the device's support for TensorFlow, PyTorch, and ONNX helps Clinomic integrate pretrained models with monitoring and imaging systems already used in care environments. This edge architecture powers voice recognition, multilingual translation, ultrasound enhancement, predictive analytics for conditions such as sepsis or acute kidney injury, and remote consultations from one modular clinical workstation.
Data flow
Vitals, lab results, demographics, voice commands, and imaging signals are aggregated on Mona at the bedside. Jetson AGX Xavier processes those inputs locally, TensorRT-optimized models generate documentation, predictions, translations, and image enhancements, and the resulting insights are presented to care teams or remote specialists without a cloud round trip.