Media reports on the opioid abuse crisis in the U.S. increasingly dominate our TV screens and news feeds. But when do we start recognizing these statistics as actual people in need of help—what if we can identify at-risk individuals while they still have options?
Early recognition of opioid misuse is key to identifying people at risk and getting them timely treatment, but those “dancing with the devil” are hard to find in the early stages, and rarely come forward on their own.
In an article for HITECH Answers, Linguamatics’ Dr. Elizabeth Marshall reflects on how the crisis has affected her on a personal level. She looks at how using natural language processing (NLP) to analyze structured and unstructured data from sources such as clinician notes could help identify patterns that reveal possible opioid abuse. Dr. Marshall also suggests further measures that organizations, institutions, and communities might take to combat this growing epidemic.
Read the full article here.