Feb 19

WakeMed is testing new technology to find patterns in patient crises

WakeMed Hospital in Raleigh is one only two hospitals in the country testing a new technology which could help predict patient crises in the intensive care unit

Feb 13

The coming of age for big data and artificial intelligence in the ICU

As artificial intelligence permeates almost all aspects of our lives, learn how AI is transforming our practice of critical care by offering us access to a “digital second opinion” with predictive analytics enabling us to be proactive and improve outcomes.

Feb 13

CLEW Brings Groundbreaking AI-Powered Critical Care Solution to US Market with Launch at SCCM 2020

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


Jan 16

CLEW Secures Series B Funding

Funding will be used to scale US operations and commercialize CLEW’s critical care platform


Oct 19

Dr. John Halamka joins CLEW’s Scientific Advisory Board

Prominent healthcare technology pioneer to advise CLEW as the company expands its product offering across the entire continuum of care

CLEW is being featured on Information Matrix!

Jul 19

CLEW to be featured in a new episode of “Information Matrix”, with Laurence Fishburne

Featuring healthcare industry experts, the program will show how critical care units are using AI-Machine Learning to deliver true patient value


Mar 18

CLEW Collaborates With UMass Memorial Medical Center to Bring Predictive Analytics to Tele-ICUs

AI predictive analytics platform to provide clinical, operational & financial benefits to all layers of tele-ICU management and staff


Aug 18

Does big data hold the secret to controlling sepsis?

A big data, machine learning-based system could analyze patient profiles who have suffered from sepsis and build a profile that would show the specific data readings for each data point, alone and as they interact with other data points.


Aug 18


Clew Medical has recently announced its partnership with WakeMed for its clinical trials in the eICU to detect patient deterioration in realtime


Feb 18

Israel 21C - Saving lives in the ICU through artificial intelligence

An Israeli venture capitalist’s personal tragedy brought him to a startup seeking to provide immediate health updates for fragile patients


Dec 17

Clew Medical is using AI to identify patients at risk

AI has been the buzzword of 2017, with the technology increasingly used to bring predictive analysis to marketing applications.


Dec 17

Winner of the "Mind the Data" startup competition held by Calcalist and Microsoft

Harnessing AI technologies to help ICUs cut down on treatment time and cost.

CLEW in the news

Dec 2017

CLEW: Boosting clinical analysis with machine learning

CLEW used Google Compute Engine to build a reliable, scalable, cloud-based machine learning platform to develop and train its critical care algorithms.

CLEW in the news

Feb 17

Intensix raises $8.3M for machine-learning tech to head off ICU complications

Uses a range of ICU data, predictive modeling and machine learning to provide predictions of patient deterioration, which could potentially help care staff prevent complications.


Jan 17

Winner of the 8200 start-up competition

In the high-tech entrepreneurship competition, the CLEW system which alerts emergency medical conditions in intensive care departments


Mar 2016

clew teams with Mayo Clinic on critical care

The study will focus on the feasibility of using the Israeli startup's analytics platform to predict patient deterioration from infection.


Feb 2016

Big data co clew and Ichilov to collaborate

Israeli startup Intensix is developing analytics for early detection of complications or deterioration in intensive care patients.


Dec 2015

clew - Winner of the Innovation Award

Most Innovative startup at the 22nd annual conference of the Israeli Society for Quality in Healthcare for presenting “The Next Game Changer in Critical Care”

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