My research focuses on how providers can influence a patient’s addiction trajectory by analyzing risk factors, trajectories, and treatment pathways (including peer recovery) for patients using substances with high misuse potential, especially prescribed drugs (e.g., amphetamines, opioids, benzodiazepines, gabapentinoids) through big data, informatics, and artificial intelligence. I use national datasets such as NHAMCS, HCUP, and NSDUH to analyze trends, risk factors, and outcomes. I am also investigating how AI models can be deployed in healthcare to predict outcomes and improve patient care through personalized treatment recommendations.
