Innovative Strategy for Outpatient Tb Treatment in Uzbekistan: Automation of Patient Selection and Risk Assessment

This study introduces an innovative, risk-based strategy for outpatient tuberculosis (TB) treatment in Uzbekistan, aiming to reduce hospitalization costs and optimize medical resource allocation. By analyzing data from 3862 newly diagnosed TB patients, an automated risk assessment algorithm was developed to classify individuals into four risk categories for adverse treatment outcomes. High-risk factors such as miliary TB, caseous pneumonia, HIV infection, homelessness, recent release from prison, and substance abuse were identified. The proposed system enables healthcare providers to personalize treatment plans, promoting early outpatient care and enhancing the efficiency and sustainability of TB services nationwide.