Adherence to treatment for patients diagnosed with substance use disorder (SUD) is a constant issue. Patients with SUD are at an increased risk of discharging against medical advice (AMA) as compared to patients without SUD.1AMA discharges correlate with increases in thirty-day mortality rates, and cause an increased variance in bed occupation which raises costs and is detrimental to revenue Shepard Health hypothesizes that a predictive model can be developed to identify patients at higher risk for leaving AMA and the associative causes for this course of action.
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