The CLEWICU System is a software platform that uses AI machine learning models to predict the likelihood of future hemodynamic instability in adult patients in various hospital critical care units. It integrates patient data from electronic health records and monitoring devices to help clinicians assess a patient's risk of clinical deterioration or stability, providing valuable physiological insights as an aid to clinical judgment.
The Global Hypoperfusion Index (GHI) Algorithm is a software tool used on compatible advanced monitoring platforms to predict the risk of a global hypoperfusion event in surgical or non-surgical patients. It analyzes physiological data to provide clinicians with early warning of potential hemodynamic instability, helping to anticipate and manage patient deterioration in critical care settings.
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