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AvaSure Teams Up with CLEW Medical to Boost High-Acuity Care with AI-Driven Virtual Surveillance
June 5, 2024
AvaSure, a market leader in acute virtual care, and CLEW Medical, an AI-enabled clinical surveillance and predictive analytics company, announced their partnership to drive early detection of critical care patient deterioration. from AvaSure Teams Up with CLEW Medical to Boost High-Acuity Care with AI-Driven Virtual Surveillance
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Healthcare IT News: AI tackles patient deterioration, obesity and stroke
May 14, 2024
CLEW Medical is unveiling new FDA-cleared machine learning algorithms that not only reduce patient condition alerts, but have also been shown to increase accuracy in detecting clinical deterioration. from Healthcare IT News: AI tackles patient deterioration, obesity and stroke
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CLEW MEDICAL SECURES FDA CLEARANCE FOR SECOND-GENERATION AI MODELS
May 13, 2024
CLEW announced that its second-generation, AI/machine-learning models for predicting patient deterioration have received 510(k) clearance from the Food & Drug Administration (FDA). from CLEW MEDICAL SECURES FDA CLEARANCE FOR SECOND-GENERATION AI MODELS
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CLEW EXPANDS ITS INTELLIGENT CLINICAL SURVEILLANCE PLATFORM TO ALL INPATIENT SETTINGS
April 29, 2024
The FDA-cleared system is proven to accurately predict patient deterioration, reduce caregiver burden and create opportunities for early intervention. from CLEW EXPANDS ITS INTELLIGENT CLINICAL SURVEILLANCE PLATFORM TO ALL INPATIENT SETTINGS
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CLEW Named to Newsweek’s List of World’s Best Digital Health Companies 2024
April 26, 2024
CLEW has been named to Newsweek’s list of the World's Best Digital Health Companies for 2024 within the Data Analytics category. from CLEW Named to Newsweek’s List of World’s Best Digital Health Companies 2024
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STUDY FINDS AI-DRIVEN PREDICTION MODELS ACCURATELY PREDICT CRITICAL CARE PATIENT DETERIORATION AND SIGNIFICANTLY REDUCE FALSE ALARMS FOR CLINICIANS
April 8, 2024
A study shared by CHEST Journal finds that CLEW's FDA-cleared AI-driven models for predicting patient deterioration were five times more accurate than alerts from a leading telemedicine system. from STUDY FINDS AI-DRIVEN PREDICTION MODELS ACCURATELY PREDICT CRITICAL CARE PATIENT DETERIORATION AND SIGNIFICANTLY REDUCE FALSE ALARMS FOR CLINICIANS
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