Ensuring stability and safety of children placed in foster homes and improving child support collections are key priorities for every department of human and social services.
By operationalizing predictive analytics, the Oklahoma Department of Human Services enables case workers to identify potential maltreatment of children in out of home care, as well as improve child support enforcement collections by identifying individuals.
In this session, 2018 PTI Technology Solutions Awards Winner, the Oklahoma Department of Human Services, will detail their journey implementing predictive analytics as well as the hurdles and pitfalls, best practices, and lessons learned.
Presented in partnership with
Jon Kirchen has worked as an IS Manager for the State of Oklahoma for more than 11 years. Jon is responsible for overseeing the development of applications for the Child Support Enforcement division of the Department of Human Services. Jon holds a Bachelor’s of Science degree in Electrical Engineering from the University of Oklahoma. Is Lean Six Sigma Green Belt, ITIL and Scrum Master certified. Prior to serving the citizens of Oklahoma Jon has owned an independent IT consulting service and was the former Director of Information Technology for the Chickasaw Nation during Y2K efforts.
Leslie Lewis has worked for Oklahoma Child Support Services for 17 years, working her way up from entry level caseworker, to district office supervisor, then finally to her current title of Support Operations Manager. As Support Operations Manager, Leslie is the Reports Manager for Child Support Services, making her responsible on the business side for all mainframe and WebFOCUS reporting. Leslie is also responsible for the Project Management Office for Child Support, and shepherds both IT and non IT projects through the project lifecycle. Finally, Leslie is responsible for the Bright Ideas program, which encourages all Child Support Services staff to brainstorm ideas for process improvement, as well as IT solutions to common mainframe issues.