With health-care costs rising faster than inflation, hospitals are under continual pressure to control costs and operate more efficiently. Linear programming (LP) is a mathematical modeling technique used by operations managers to determine optitnal solutions to decision problems. Previous applications include the determination of optimal airline and trucking routes, blends of chemicals and oils, personnel schedules, and patient case mixes. In this article, LP is used to determine the optimal case mix for three cardiac services in a hospital to maximize revenue, given a set of assumed constraints or restrictions. The services were inpatient cardiac rehabilitation (CR), nonthallium graded exercise tests (GXT), and thallium graded exercise tests (THGXT). Constraints include personnel requirements, patient demand, supplies required, and physical and equipment capacities. Given the following revenue coefficients, the objective function is the following: maximize: $30 CR + $200 GXT + $800 THGXT. An optimal solution of 217.5 cases for CR, 15 for GXT, and, 12.5 for THGXT, With a maximal projected revenue of $19,525 for 1 week was obtained. Sensitivity, analysis indicated shadow prices of $60 and $1600 for available nursing and physician time, respectively. A shadow price of $245 was obtained for the nonthallium GXT demand constraint. A slack value of $3865 was obtained for the amount of supplies budgeted during this period. These data suggest that management personnel should attempt to obtain additional nursing and physician time to perform additional procedures if patient demand is present. Efforts should be made to reduce the expenses associated with nonthallium GXT and, given that $3865 of supplies will go unused in the optimal solution, the feasibility of decreasing inventory levels should be closely examined. LP models with sensitivity analysis can be a valuable managerial tool in helping determine the allocation of resources in a manner that assures high-quality patient care and insures financial viability. Health-care managers should attempt to systematically use decision models that can help improve the operating effectiveness and efficiency of their institutions.