Health IT Analytics September 27, 2022
An automated tool developed by UCLA Health uses patients’ EHR data to detect signs of injection drug use faster than traditional methods.
Researchers at the University of California, Los Angeles (UCLA) Health have developed an artificial intelligence (AI)-based tool that can identify people who inject drugs using EHR data faster and more accurately than standard methods.
According to the study, the efficient identification of people who inject drugs is crucial to improving risk assessment and mitigation, clinical decision-making, and health services research. Currently, identifying this population relies on various International Classification of Diseases (ICD) codes because there is no ICD code specifically for injection drug use.
Because there is no ICD code for injection drug use, providers and coders...
Today's Sponsors
Today's Sponsor