A new study supported by the NIH found that an AI-powered screening tool was effective in identifying hospitalized patients at risk for opioid use disorder (OUD), potentially increasing access to addiction treatment and reducing hospital readmissions. Researchers at the University of Wisconsin-Madison integrated the AI screener into hospital workflows, enabling rapid analysis of patient electronic health records to flag at-risk individuals. The tool matched provider assessments in prompting specialist consultations and led to a 47% reduction in 30-day readmission rates among screened patients, demonstrating both cost savings and improved care outcomes. The success of this real-world implementation highlights AI’s promise in enhancing addiction medicine and supporting efficient healthcare delivery.
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