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