Ovarian cancer is a malignancy that arises from the ovaries and is often referred to as a “silent killer” due to its subtle and nonspecific symptoms in early stages. This leads to a high rate of late-stage diagnoses. Key risk factors include advanced age, family history, genetic predispositions (notably mutations in BRCA1 and BRCA2), and hormonal influences. One of the most important measures of clinical outcomes and resource utilization following surgery is the length of hospital stay (LOS). Given that length of stay (LOS) can be significantly impacted by both organizational and patient-related factors, it is imperative to comprehend the factors that lead to extended hospital stays in order to improve patient care. In order to investigate the parameters influencing length of stay (LOS) after ovarian cancer surgery at the Antonio Cardarelli Hospital in Naples, Italy, this study uses a statistical learning technique. It builds on past studies on the reasons behind extended length of stay in surgical oncology. The main findings showed how the clinical and organizational elements of the surgical pathway impact hospital stay duration, offering a chance to enhance patient care and quality.