The chemotherapy outpatient planning problem has two targets. Oncologists target optimal treatment plans whereas, operations managers target optimal treatment operational performance. Both the chemotherapy treatment planning and patient planning and scheduling in outpatient chemotherapy units have been treated individually in literature. This paper studies two existing pioneering models in each problem whether how to determine the optimal drug schedules or the problem of how to assign the starting days for new patients despite existing patients. The first model is an infinite optimization optimal control model that determines the optimal drug schedules which result in a decreasing number of cancerous cells with time and therefore the tumor size. The second model is a finite optimization integer programming model that assigns a new set of patients to their first treatment days to fulfill minimum staff idle time, over time, and treatment delays. Then, the optimal control model is transformed to a discretized finite optimization model to facilitate integration. Finally, a unified integrated mathematical model that combines the two types of problems is developed. The developed model can plan the drug infusion doses and also the first day the patient should start the treatment.