WOBURN, Mass. – Continuous monitoring solutions provider EarlySense has acquired exclusive global rights to a new version of the eCART predictive analytics score tool developed by Dr. Dana Edelson, executive medical director of Rescue Care at the University of Chicago.
The new tool, a validated early warning score that uses only heart rate, respiratory rate and patient age, will be integrated into EarlySense’s products.
“Risk scoring is a critically important tool but is currently limited to complex multi-parameter tests and lab systems found in EMR systems,” said Avner Halperin, co-founder and CEO of EarlySense, in a statement. “Combining Dr. Edelson’s approach with real-time data enhances true deterioration detection.”
The eCART clinical predictive analytics tool was designed to identify risk of health deteriorations and cardiac arrests based on more than 30 clinical data points per patient. It was developed using a data set of nearly 300,000 cases.
“By working with EarlySense to adapt this hospital-proven predictive clinical score, we may be able to extend the predictive clinical score beyond the confines of the hospital and into post-acute and home environments,” said Edelson in a statement. “The evolution of eCART as a tool across the care continuum is representative of how innovation is changing the health care landscape today and expanding care beyond the walls of a hospital.”
EarlySense assists clinicians in the early detection of patient deterioration through the real-time collection of vital signs while patients lie in bed or sit in a chair. The company’s systems leverage Artificial Intelligence and big data analytics to provide actionable health insights and improve clinical outcomes, while enhancing the patient experience through their passive collection approach.
“Dr. Edelson is a pioneer in predictive analytics for patient deterioration, and we are pleased to collaborate with her to bring state-of-the-art data analytics to hospitals, post-acute care facilities and homes,” said Halperin. “Making cutting-edge predictive analytics practical for every institutional bed and every home will save countless lives.”