Identifying Frequent Users of Multiple Public Systems for More Effective Assistance

Identifying Frequent Users of Multiple Public Systems for More Effective Assistance Fellows: Matthew Bauman, Kate Boxer, Tzu-Yun Lin, Erika SalomonMentor: Jen Helsby, Joe WalshProject Manager: Lauren HaynesProject Partner: Johnson County, KS In many municipalities, the most vulnerable individuals struggle with multi-dimensional problems, such as homelessness, mental illness, substance abuse, and chronic health conditions. As a result, they frequently interact with multiple public systems, including jails, hospitals, and mental health facilities. Cross-system initiatives that identify these individuals and provide them with comprehensive treatment would also reduce their service needs. However, data traditionally siloed within respective agencies frequently slows such coordinated efforts across entities. The White House Data-Driven Justice Initiative, a partnership with cities, counties, and states across the country, will address these obstacles as one of its key goals. We will…


Link to Full Article: Identifying Frequent Users of Multiple Public Systems for More Effective Assistance

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!