With the growing demand for information technology support in scientific research and teaching within medical universities, IT resources such as cloud services and virtualization have become increasingly vital for system development, data platform construction, and the digitalization of management processes. As the supporting department, the IT office relies on colleges and administrative units to submit service requests through the “IT Resource Application Process.” However, the current process suffers from complex approval hierarchies, redundant form filling, and inefficient paper-based procedures, which significantly hinder service responsiveness and user experience. To address these issues, this study introduces process mining techniques to model, analyze, and optimize the IT resource application process. A process model is constructed using the Inductive Miner algorithm, which effectively reconstructs the control-flow logic of event sequences and identifies process bottlenecks. The optimization is guided by the ESIA principles and evaluated systematically using the BPM six-dimensional performance model. Results demonstrate substantial improvements in approval stages, processing time, and efficiency, offering a practical path and methodological support for the digital transformation of IT service processes in medical universities.