UMass partners to aid tele-ICU care with analytics

An academic medical center is working with a partner to bring predictive analytics to tele-ICU units.

UMass Memorial Medical Center has announced a partnership with CLEW, a developer of a clinical analytics platform, to better enable the use of predictive technology to speed decision making on care decisions who are being treated remotely in critical care settings.

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UMass Memorial Medical Center

Through the partnership, CLEW will aim to expand its clinical trials for real-time, patient-level predictions based on artificial intelligence algorithms and customized physiological models.

For its part of the partnership, UMass Memorial Medical Center will provide clinical data from its tele-ICUs, which monitor approximately 150 patients in real time in five different outlying facilities.

CLEW’s platform analyzes data from critical care patients with an analytics engine to detect deterioration in real time and delivers predictive warnings during all phases of a patient’s stay in a tele-ICU. The company says its AI platform will give the provider tools to enhance patient care, reduce costs by preventing clinical deterioration and maximize healthcare resources.

"Electronic tools that enhance situational awareness are a key component of telemedicine support for patients and their healthcare communities,” says Craig Lilly, vice chair of critical care at UMass Memorial Medical Center. “In our partnership with CLEW, I am excited to see just what these advanced tools can do.”

“Teaming up with such a prestigious hospital is a great privilege, and we’re thrilled to have CLEW’s platform integrated into UMass Memorial Medical Center’s tele-ICU program, which will help with time-sensitive decisions and creating a new standard for patient care,” says Gal Salomon, CEO and founder of CLEW.

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