Using machine learning and data science, CLEW has developed physiological, predictive models at the individual patient level. Already proven successful in the ICU, the models are now being extended to all care settings, designed to guide healthcare providers in predicting the patient’s clinical state. Deployable directly from bedside to a centralized command and control facility, CLEW helps providers make better informed clinical decisions; improve outcomes and safety; streamline patient care; better deal with increased regulation and penalties; lower the cost of care; and remove discharge barriers.
CLEW ICU: AI-Powered Digital ICU
Identify patients that are most and least likely to deteriorate
Improved Resource Management and Workflow
Streamlines processes, saving time and reducing costs
Clinical Excellence in the ICU
Client-defined best practices support (Smart Lists) capability
Bedside and TeleICU Deployment
Cloud-based or on-premise solution, fully scalable and rapid deployment
Work List Integration with the TeleICU workflow by gathering all notifications, tasks, new admissions and high-risk patients
Notifications
High Risk Patients
Tasks
New Admissions (pulled from a left sidebar)
Unit View by Layout
Full ICU situational awareness, displaying patient data and predicted risk level, for one unit or multiple units. The display highlights all notifications, low risk patients and other key clinical information, to provide multi-dimensional situational awareness.
Patient risk stratification (high, moderate and low risk patients))
Intubated patients
Vasopressors/inotrope support
Empty beds
Key patient and unit information
Occupancy, ventilator status and vasoactive medication