healthcare-associated infections (HAIs)

Philips, Dept. of Defense Partner to Develop AI-Algorithm to Detect Infection 48 Hours Before Observable Symptoms

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- Philips and the U.S. Department of Defense are teaming up to develop an AI-algorithm to identify infection more than 48 hours before observable symptoms. - Using large data sets & machine learning across biomarkers, innovative tech can speed time to detection, intervention & treatment, while improving outcomes & reducing the spread of disease. - Future research is currently being planned to leverage this information as an algorithm to be integrated into a wearable device,
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Philips launches IntelliSpace Epidemiology Solution to Detect HAIs

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Philips has announced the launch of IntelliSpace Epidemiology, a solution that optimizes the detection of healthcare-associated infections (HAIs) in the hospital. Philips Epidemiology is a single, integrated system that combines clinical informatics, bioinformatics, and genome sequencing information. Hosted on Philips HealthSuite, IntelliSpace Epidemiology will leverage deep learning and clinical analytics to genetically fingerprint pathogens and track infection transmissions quickly, as well as
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