Forecast The Future With Predictive Analytics To Improve Your Child Welfare Outcomes: The Heartland For Children Case Study
THIS WEBINAR HAS PASSED
January 18, 2017 — Executive Web Briefing Exclusively For Members Of The Next Generation Forum On Children’s Services
In a 2014 Harvard Review article authored by Tom Davenport, he says, “No one has the ability to capture and analyze data from the future. However, there is a way to predict the future using data from the past. It’s called predictive analytics, and organizations do it every day!”
Recently, the use of analytics has been expanding throughout the health and human services industry. Organizations are adopting analytics with the goal of gaining knowledge that can be used to make better organizational decisions and improve consumer outcomes. Analytics often involve studying past historical data to research potential trends, to analyze the effects of certain decisions or events, or to evaluate the performance of a given tactic or situation.
The use of predictive analytics has been growing in our health and human services field. Software companies have been developing programs that are now being used to predict and identify children at high risk of severe abuse and to reduce child fatalities. Data driven placement assistance for children in foster care can now be purchased to reduce length of stay and likelihood of disruption.
The question of whether child welfare agencies should apply a statistical discipline has sparked a widespread debate. But despite the understandable fears that come with applying an algorithm to the human questions of family or child behavior, evidence is showing that use of predictive analytics is growing and gaining support even within our federal government.
Join OPEN MINDS senior associate, Howard Shiffman, Heartland for Children Chief Quality and Performance Officer, William (Bill) Nunnally, Heartland for Children Director of Information Management, Tonya Lockamy, Florida – Circuit 10 CBC Heartland for Children Data Specialist, Patrick Hollida, and Mindshare Technology CEO and Founder, Greg Povolny on January 18, 2017 at 2:00pm ET for this members-only executive web briefing. This case study-oriented web briefing will showcase how Heartland for Children has used predictive analytics to improve outcomes for children in Florida.
During this 60-minute web briefing, you will:
Learn how data is being used to predict behavior and reduce risk in the health and human service industry
Discover predictive software currently available for child welfare providers
Understand how government is supporting the use of technology to assist in achieving better outcomes
Hear an in-depth review of how Heartland for Children is using predictive analytics to enhance the goals of safety, permanency, and well-being