METHODS AND SYSTEMS FOR PATIENT DISCHARGE OPTIMIZATION USING UPLIFT PROBABILITY

A method (100) for determining a home care uplift probability for a hospitalized patient, comprising: (i) receiving (120) patient data from a medical record database; (ii) extracting (130) an uplift probability feature set from the received patient data; (iii) analyzing (140), at a first time point, the uplift probability feature set by a trained uplift probability algorithm (263) to determine an uplift probability for discharge of the hospitalized patient versus continued hospitalization; (iv) comparing (150) the determined uplift probability to a predetermined uplift probability threshold to determine a recommendation, wherein the recommendation is to keep the hospitalized patient hospitalized when the determined uplift probability is below the predetermined uplift probability threshold, and wherein the recommendation is to discharge the hospitalized patient when the determined uplift probability is above the predetermined uplift probability threshold; and (v) providing (160), via a user interface, the recommendation to a user.