NIDA Grant Fuels Cloud-Based Predictive Software for Addiction Treatment
Behavioral health technology developer Polaris Health Directions, Langhorne, Penn., has received a $1.1 million grant from the National Institute on Drug Abuse for the second phase of a project the company says is set to dramatically impact addictions outcomes.
Behavioral health technology developer Polaris Health Directions, Langhorne, Penn., has received a $1.1 million grant from the National Institute on Drug Abuse for the second phase of a project the company says is set to dramatically impact addictions outcomes.
Polaris will implement a cloud-based clinical system designed to predict and improve the likelihood of patient engagement in 12 addictions treatment programs of a large behavioral health system. The company says the evidence-based, patient engagement predictive model is the first ever developed for clinical use.
The Polaris Engagement Enhancement for Chemical Dependency System, EECD for short, is an advanced version of its Polaris CD, an outcomes management system for substance abuse treatment.
Polaris says the predictive model helps clinicians identify early those patients who are unlikely to engage in treatment. Additional enhancements include a motivational, personalized patient feedback report and a clinical report that provides guidance for motivational interviewing, a method known to be effective for improving engagement. The new components were developed with data from the New Hope Foundation, one of New Jerseys largest addiction treatment centers. A prototype was field tested at New Hope.
In phase two, data from about 10,000 patients will be used to study the effectiveness of EECD for improving engagement and lowering the rate of patients re-entering treatment within six months.
Polaris will implement a cloud-based clinical system designed to predict and improve the likelihood of patient engagement in 12 addictions treatment programs of a large behavioral health system. The company says the evidence-based, patient engagement predictive model is the first ever developed for clinical use.
The Polaris Engagement Enhancement for Chemical Dependency System, EECD for short, is an advanced version of its Polaris CD, an outcomes management system for substance abuse treatment.
Polaris says the predictive model helps clinicians identify early those patients who are unlikely to engage in treatment. Additional enhancements include a motivational, personalized patient feedback report and a clinical report that provides guidance for motivational interviewing, a method known to be effective for improving engagement. The new components were developed with data from the New Hope Foundation, one of New Jerseys largest addiction treatment centers. A prototype was field tested at New Hope.
In phase two, data from about 10,000 patients will be used to study the effectiveness of EECD for improving engagement and lowering the rate of patients re-entering treatment within six months.
More for you
Loading data for hdm_tax_topic #better-outcomes...