Applying AI in the social services sector to improve quality and results

Why: Creating more comprehensive, safe and accurate assessments of social service.

The social services are organized into four departments where one administrates and investigates concerns of various child and youth mistreatments.

The challenge:

The notifications of potential cases for child mistreatments are received through letters, phone calls, or faxed in from the police, childcare facilities, schools, or health care services. The volume of case notifications has increased by xx % since eg, 2014, and with the current formating system in place, the reporting results received are already queued up at first contact with the department.

The cases are handled manually, and it takes the individual social assistant a good deal of time to properly assess each case. The queue follows throughout the entire process. For some children, timing is critical, and this long process could prevent the right actions to be taken at the right time to help their situation. Furthermore, the timely process can increase costs for the public sector due to case intervention at a later stage when a situation could have become more severe, and require more resources.

How can it be done?

To handle the increase and variation of cases, Norrtäjle wants to digitalize, automate, and streamline the process of pre-assessing the cases.

To handle the increase and variation of cases, Linz could digitalize, automate, and streamline the process of pre-assessing the cases. To do this, Linz should execute a program introducing five e-services, where one of the four projects is focused on developing and implementing an AI model to support decision making in the pre-assessment stage to become more productive, without sacrificing the quality and accuracy of each assessment.

Disclaimer:

How the social services are organized may vary from municipality, and departments where one administrates and investigates concerns of various child and youth mistreatments.