EarlySense to Use Version of eCART Predictive Analytics Score Tool

EarlySense, which develops contact-free continuous patient monitoring solutions, has signed a deal for exclusive global rights to a new version of the eCART predictive analytics score tool.

The eCART tool was developed by Dana Edelson, M.D., executive medical director of rescue care at the University of Chicago, whose work focuses on prediction and prevention of hospital cardiac arrest.

EarlySense, an Israeli company with U.S. offices in Woburn, Mass., said the new ‘Lite’ tool is the first scientifically validated early warning score to use only heart rate, respiratory rate and patient age. The company said that makes it ideal for use in conjunction with its continuous monitoring sensors.

EarlySense assists clinicians in early detection of patient deterioration through the real time collection of vital signs while patients lie in bed or sit in a chair. Its solutions have been proven to help prevent adverse events, including code blues which are a result of cardiac or respiratory arrest, preventable ICU transfers, patient falls, pressure ulcers, and hospital readmissions.                                                                                             
“Risk scoring is a critically important tool but is currently limited to complex multi-parameter tests and lab systems found in EMR systems. Combining Dr. Edelson’s approach with real time data enhances true deterioration detection,” said Avner Halperin, co-founder and CEO of EarlySense, in a prepared statement.

The eCART tool was designed to identify risk of health deteriorations and cardiac arrests based on over 30 clinical data points per patient. It was developed using a data set of nearly 300,000 cases. The eCART tool has already been proven to improve care in hospitals and help clinicians achieve better outcomes, including lower mortality rates.

“By working with EarlySense to adapt this hospital-proven predictive clinical score to be used with a streamlined set of data points, including continuously collected heart and respiratory parameters collected from the EarlySense bed sensors, we may be able to extend the predictive clinical score beyond the confines of the hospital and into post-acute and home environments. This in turn enables earlier intervention and prevention of patient deterioration and adverse events,” explained Edelson, in a statement.