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Radiation treatment is to deliver the dose of radiation to a patient throughout a lot of procedures ranging from delineating target volume and structures to treatment planning, dose delivery and quality assurance. Each step usually demands a series of the labor-driven, time consuming tasks. Also, facing the era of big data, to acquire and review a huge number of patients with similar tumor locations and prescriptions, it requires for accessing a large amount of data each at a time from the limited information. The recent significant developments in radiation oncology, therefore, have been made to lessen the manual interventions and human labors in treatment associated applications by utilizing high computing device and algorithms e.g. GPU, and deep learning. Keeping in pace with the advances, several vendors providing treatment planning system (TPS) have made an effort to help users to improve the working efficiency for treatment, and offered a Scripting application programming interface (API). This is a toolbox based on C# programming, which is designed to conduct a variety of functionalities. It ultimately pursues attaining automation in a variety of applications in radiation therapy, such as the treatment planning, file transmission, data mining and verification of plan quality. A couple of studies Original Article

Institutional Applications of Eclipse Scripting Programming Interface to Clinical Workflows in Radiation Oncology