Highlights ■ The sample included 555 patients from three hospitals (both public and private), representing diverse care settings. ■ Physician and software predictions showed moderate correlation with observed intensive care unit length of stay, highlighting limitations in absolute prediction accuracy. ■ Categorizing length of stay into time periods (<2, 2-5, >5 days) improved prediction accuracy to approximately 60% for both physicians and Epimed Monitor Performance®. ■ Epimed Monitor Performance® identified patients at risk of prolonged intensive care unit stay with […]
