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CLEW
Biotech & Life Sciences · Netanya, Israel · Founded 2014
Predictive clinical analytics that ICU and high-acuity staff and management can use to avoid deteriorations MoreLess
CLEW is an analytics company operating in the HealthTech sector, providing an intelligent clinical surveillance platform for healthcare institutions. The firm was established in 2014 by co-founders Gal Salomon and Avigdor Faians in Netanya, Israel. Salomon’s motivation to create the company stemmed from a personal experience involving the loss of his mother due to what he perceived as an avoidable healthcare mistake, which drove him to develop a technological solution to prevent similar events. His background includes founding and leading Sansa Security until its acquisition by ARM, alongside roles at Pitango Venture Capital, Intel, and DSP Communications. Faians brings over two decades of experience in design management and system architecture from his time at companies like Mindspeed Technologies and Techtium.
The core of CLEW's business is a platform that uses artificial intelligence and machine learning models to anticipate patient deterioration, often hours before it would otherwise be detected. This system integrates clinical data from various sources, such as electronic health records (EHR) and bedside monitors, to create a consolidated, near real-time view of a patient's status. By providing predictive warnings, the technology enables care teams to intervene earlier, optimizing patient outcomes and resource allocation. The platform is designed for high-acuity settings within hospitals, including Intensive Care Units (ICUs), Emergency Departments (ED), and Post-Anesthesia Care Units (PACU). The business model centers on offering this AI-powered surveillance as a service to hospitals and healthcare systems, which helps them improve patient throughput and manage capacity more effectively. A significant milestone for the company was receiving FDA clearance in February 2021 for its AI-based predictive analytics technology for adult ICU patient assessment.
Keywords: clinical surveillance, predictive analytics, patient deterioration, artificial intelligence, machine learning, FDA-cleared, ICU management, hospital operations, real-time intelligence, clinical decision support, EHR integration, medical device data, resource allocation, patient throughput, length of stay reduction, high-acuity care, tele-ICU, sepsis detection, HealthTech, Gal Salomon
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