Predictive Analytics to Personalize Health Care

April 27, 2016

As part of National Volunteer Week this month, we are profiling our DataCorps volunteers of projects past, present and future. These volunteers donate a whopping 5-10 hours a week over the course of several months to apply data science techniques that can help advance a social change organization's mission.

Thresholds Evaluation Department is delighted to be working with DataKind and the fabulous volunteer team they've recruited to meet our specific needs. The project will help Thresholds combine data from multiple health and social sectors to use in identifying and better caring for those individuals with the most complex health and social needs. Just as exciting is the team's preliminary ideas for developing a predictive algorithm to forsee emergency room and jail readmissions, which will allow Thresholds clinicians to provide more tailored and intensive services as necessary post-discharge. Not only will the project result in better care for some of Chicago's most vulnerable citizens, it will help reduce health care system cost and demonstrate the power of collaboration across social service and health sectors. We are looking forward to working with Brennan, Iakov, Lulu, and Radu!

-Kristin Davis Director, Evaluation

Thresholds provides healthcare, housing, and hope for thousands of persons with mental illnesses in Illinois each year. In a project sponsored by Bloomberg, a DataCorps team will be helping Thresholds create a data warehouse for Medicaid claims and Cook County jail data as well as automate the creation of dashboards staff use to tailor care to their members. The team will also explore the potential to use predictive analytics to help staff tailor care for their members in order to ultimately reduce the cost of care delivery and help more people will mental illnesses reclaim their lives.

What inspires this team to give back?

"To prove data can make real impact, not just money."

Lulu Cheng
Lulu is a Data Analyst at McGraw Hill Education. She studied Political Science and Economics but finally realized it's Computer Science that's taking over the world. Meet Lulu >

"To help make a positive impact and change the world for the good."

Brennan Lodge
Brennan is a security analyst at Bloomberg L.P. He is a recent graduate of the Masters in Business Analytics program at NYU. Meet Brennan >


"To make friends 'jealous' of what can be done with a little computer power and a lot of empathy."

Radu Stancut
Radu is interested in human behavior within organizations and the urban environment. He tries to use data to supplement his appreciation for this subject matter. Meet Radu >


“I love giving back to the community.”

Jacob Gorelik
Jacob is a Data Scientist at Citigroup. Meet Jacob >

Learn more at Bloomberg’s Data for Good Exchange September 25th!

Bloomberg made a commitment last fall during Pro Bono Week to support DataKind projects as a way of encouraging more pro bono data science and we are grateful for their sponsorship of this project as well as another with Moulton Niguel Water District in California.

Not only are they sponsoring these projects through, they are also giving both teams a chance to present their findings at their upcoming Data for Good Exchange September 25th in New York. This annual gathering brings together some of the top data scientists and social change-makers under one roof. With this year’s theme focused on “better governance” - or how data science can be applied to solve public interest problems - it’s a perfect venue for our volunteers to share their learnings with the wider community. Let us know if we’ll see you there!

Learn more about the Data for Good Exchange >