For a federal agency, AI and multiple data sources illuminated the risk and protective factors behind elder and adult maltreatment.
The U.S. Department of Health and Human Services' Administration for Community Living needed to better understand the factors associated with elder and adult maltreatment, a complex problem spread across many data sources.
BCT led an initiative using artificial intelligence, machine learning, and multiple integrated data sources to investigate the risk and protective factors associated with maltreatment, turning fragmented data into actionable understanding.
Most organizations already hold the data PCM needs. Let's find out what it can tell you.