“Drug Seeking”: Analyzing the Prediction of Drug Seeking Behaviors along Racialization and Minoritization Lines
Session Number
Project ID: MEDH 24
Advisor(s)
Dr. Faith Summersett-Williams; Ann & Robert H. Lurie Children’s Hospital of Chicago, The Potocsnak Family Division of Adolescent & Young Adult Medicine
Discipline
Medical and Health Sciences
Start Date
19-4-2023 10:35 AM
End Date
19-4-2023 10:50 AM
Abstract
With recent developments in healthcare, artificial intelligence (AI) has proven to become a tool in bedside care faster than many might have imagined, especially within the field of substance use treatment. Recommendations have already started to arise for how to utilize the tool to cut down on physician workload, but in making those recommendations, considerations were not made for the effects on minority patients. This study aims to conduct a scoping review of the literature that lies around examining differences in the prediction of drug seeking behaviors. It additionally seeks to understand the label “drug-seeking” on patients, based on racialization and minoritization with a special lens for intersectionality.
Ultimately, this research hopes to highlight the ways in which usage of artificial intelligence in substance use treatment should make considerations for minority patients beforehand and make suggestions for where research can be directed for to reduce labeling of patients as “drug-seeking”.
“Drug Seeking”: Analyzing the Prediction of Drug Seeking Behaviors along Racialization and Minoritization Lines
With recent developments in healthcare, artificial intelligence (AI) has proven to become a tool in bedside care faster than many might have imagined, especially within the field of substance use treatment. Recommendations have already started to arise for how to utilize the tool to cut down on physician workload, but in making those recommendations, considerations were not made for the effects on minority patients. This study aims to conduct a scoping review of the literature that lies around examining differences in the prediction of drug seeking behaviors. It additionally seeks to understand the label “drug-seeking” on patients, based on racialization and minoritization with a special lens for intersectionality.
Ultimately, this research hopes to highlight the ways in which usage of artificial intelligence in substance use treatment should make considerations for minority patients beforehand and make suggestions for where research can be directed for to reduce labeling of patients as “drug-seeking”.