Using AI and Data to Target Addiction

Cognizant is exploring using an AI solution to flag at-risk patients, combining data both from medical records and notes from in-person interactions with physicians.  The technology uses text analysis and data to search for the patterns and commonalities associated with drug seeking behaviors, coupled with a learning component that allows for improvements.  Physicians can then intervene with patients before addiction takes hold.  This preventative approach has the potential to reap concrete health and monetary benefits. 

The full case study can be viewed below.