Deployable from the bedside to a centralized command and control facility, CLEW uses artificial intelligence to improve the outcomes and safety of critically ill patients in TeleICU and Critical Care settings
CLEW announced that it will be demonstrating the industry’s first ever AI-powered critical care solution at the Society of Critical Care Medicine’s (SCCM) 49th Critical Care Congress, in Orlando, Florida from Feb 16 – 19, 2020.
The CLEW solution harnesses vast amounts of clinical and patient data in real-time to deliver highly accurate predictive clinical analytics. Using prediction models CLEW provides ICU and TeleICU providers with preemptive patient care information, enabling continuous patient risk stratification, acuity-based resource allocation, clinical optimization and improved case volumes.
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On Feb. 17th in theater 4 between 12.30-1.30 CLEW Medical Director, Dr. Itai M. Pessach will present research and results about these AI models impact care. CLEW interfaces with existing EHR systems and medical devices and can be deployed either on-premises or in the cloud.
Commenting on the need for a meaningful breakthrough in the delivery of healthcare, CLEW founder and CEO Gal Salomon said, “Using artificial intelligence is the only way to create change that really moves the needle to deliver true patient value. With its US market launch, CLEW aims to help US health systems improve clinical outcomes and the patient experience by shortening stays and improving efficiency while reducing costs.”
Dr. Craig Lilly, Vice Chair, Critical Care Operations and Director of the eICU program at UMass Memorial commented on the use of AI in critical care, “Rather than reacting or having alerts and alarms in the room that tell us that a patient is deteriorating, we know ahead of time so that we can intervene in a way that prevents the patient from ever having any symptoms in the first place. It’s truly an advance.”
As a trending new solution leveraging the full power of AI and big data in healthcare, CLEW was recently featured on the educational TV series “Information Matrix”. Filmed on location at UMass Memorial Medical Center in Worcester, the episode includes in-depth interviews with critical care practitioners and highlights how the pioneering use of AI-Machine Learning at a leading US healthcare facility is being used to improve patient value and care delivery.