More than 80% of child welfare data is free-form text contained within case notes. And notes for a single case can be hundreds of pages. Child welfare workers know that the insights in those case notes are crucial to achieving the best outcomes for their clients. But finding the right information can be burdensome and time consuming. Our guests will discuss how advances in NLP make case note data more accessible and digestible - saving case workers time and effort while enabling better informed decisions.
Daniel Stein, President Stewards ofChange
The Stewards of Change have looked at the role of technology in child welfare for nearly 2 decades. In 2016 SoC previewed the potential for Artificial Intelligence and NLP in child welfare. Daniel will provide a view of progress in the years since SoC published the report and how the reality does - or does not align with SoC's vision.
Tracy Rohrdanz, Business ApplicationManager, Allegheny County Children, Youth & Families
Tracy is leading Allegheny CountyChildren Youth & Families effort to introduce NLP technology for child welfare. Participants will gain insight into Allegheny County's goals, lessons-learned, and future plans for Natural Language Processing as a tool for streamlining case management and transforming unstructured data into meaningful information.
Cristy Bearden, Caseworker III Allegheny Dept. of Human Services
Cristy will offer her perspective on the value of easy access to all the information in case notes while addressing her daily tasks.