  Data extraction and management are crucial components of research and
clinical workflows in Radiation Oncology (RO), where accurate and comprehensive
data are imperative to inform treatment planning and delivery. The advent of
automated data mining scripts, particularly using the Python Environment for
Scripting APIs (PyESAPI), has been a promising stride towards enhancing
efficiency, accuracy, and reliability in extracting data from RO Information
Systems (ROIS) and Treatment Planning Systems (TPS). This review dissects the
role, efficiency, and challenges of implementing PyESAPI in RO data extraction
and management, juxtaposing manual data extraction techniques and explicating
future avenues
