FirstMatch is a state-of-the-art software solution that was designed to fill a void in these systems, while complementing and enhancing the work that has already been done to improve their effectiveness. FirstMatch leverages predictive analytics to inform a practice that has never adequately used data to drive program selection decisions. With FirstMatch, youth are matched with the right program for them the first time, eliminating multiple unnecessary placements and improving outcomes for the child, such as the likelihood of the child completing his/her program and remaining free from future placements.
FirstMatch provides benefits for child-serving organizations as well. In addition to improved agency outcomes, organizations will enjoy a competitive advantage over other programs, as well as a financial gain from treating youth who are more likely to complete their full programming.
After a child is placed, outcomes for that youth are subsequently entered into the agency’s unique FirstMatch tool, enhancing the machine learning capabilities through an ever-growing data set. Organizations are armed with a data-driven program recommendation that they can then deliver to the court or other decision maker for consideration.
If a program, on average, produces a 10% Remain-Out-of-Care Rate, is it a good program or a bad program?
FirstMatch provides agencies with the tools they need to generate more informed treatment decisions.