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 and a trained algorithm 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 and referral sources as well. The FirstMatch tool helps agencies collect and manage outcomes, identify the most appropriate population for their programs, reduce racial and ethnic disparity, and realize a cost benefit.
Once the child completes the recommended treatment program, 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. Agencies are armed with a data-driven program recommendation that can be used for decision making.
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 and referral sources with the tools they need to generate more informed treatment decisions.