UW-CTRI Researcher Dr. Marlon Mundt and colleagues today published a paper in Nature Medicine that found, compared to patients who received provider-initiated consultations, patients identified for addiction medicine referrals by AI screening and who received consultations had 47% lower odds of being readmitted to the hospital within 30 days after their initial discharge.
Lead author Dr. Majid Afshar and co-authors wrote that this reduction in readmissions translated to a total of nearly $109,000 in estimated health care savings during the study period. Mundt said he’s excited about how AI could assist with screening for tobacco addiction.
Several news outlets, including CBS News 3 in Madison, covered the story.
For more about their findings, click here.
Afshar M, Resnik F, Joyce C, Oguss M, Dligach D, Burnside ES, Sullivan AG, Churpek MM, Patterson BW, Salisbury-Afshar E, Liao FJ, Goswami C, Brown R, Mundt MP. (2025) Clinical Implementation of AI-based Screening for Risk for Opioid Use Disorder in Hospitalized Adults. Nature Medicine. Online April 3, 2025