Objective: Estimating the cost-effectiveness of disease management programs requires a comprehensive assessment of personnel and patient time. Assessments at a single time point may under- or overestimate the time required to perform related activities. In this study, we use data from a large clinical trial of exercise therapy in patients with heart failure to evaluate whether there is evidence of a learning curve with regard to time spent on non-exercise activities across 36 supervised exercise training sessions across 12 weeks. Methods: As part of the economic evaluation planned alongside the NIH-sponsored HF-ACTION trial, a Provider and Patient Time Assessment Survey was administered across 9 study sites representing a subset of 56 patients. The survey was designed to assess provider time with and without the patient, pre- and post-exercise, to account for a variety of related tasks (e.g. pulling charts, patient education, scheduling, etc.). Linear growth models were used to model the trajectory change of time spent on ‘non-exercise' activities across 36 visits. Results: Data were available for 39 (69.6%) patients who completed all 36 exercise sessions, 7 (12.5%) patients who were still enrolled in ongoing exercise training, and 10 (17.9%) patients who discontinued exercise training. The average non-exercise time associated with supervised training was 30.3 (SD=19.8) minutes, comprised of 20.6 minutes spent with patients and 9.5 minutes without patients. After adjusting for whether warm-up/cool-down activities were included, the total time spent on non-exercise activities decreased significantly (parameter estimate:-1.04 minutes/ week; p=0.007), with approximately equal reductions in time with patients (-0.57 minutes/week; p= 0.038), and without patients (-0.65 minutes/week; p= 0.058) over 12 weeks. Conclusion: Our analysis suggests that providers and patients experienced efficiency gains in regard to time spent on activities associated with supervised exercise training. These results demonstrate the potential importance of comprehensive time assessment when evaluating disease management programs.