CLEW Receives FDA Emergency
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CLEW Receives FDA Emergency
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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.
Top-down view of patient load, patient types and resource efficiency
Prediction models derived from Big Data analysis
Advanced high dimensional analytic techniques
Complements existing data channels at the hospital
IL: +972-9-779-5995
Patient View
Rapid, clear, consistent patient data summary and visualization
Patient View
Rapid, clear, consistent patient data summary and visualization
High Risk Patients
Unit View
Full TeleICU situational awareness, displaying patient data and predicted state from all units and highlighting all notifications
Key patient and unit information
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Work List
Integration with the TeleICU workflow by gathering all notifications, tasks, new admissions and high-risk patients
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.
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