Ovarian Cancer Decision Lab - From Diagnosis To Real-World Complexity

The therapeutic landscape of ovarian cancer has evolved rapidly, driven by advances in cytoreductive surgery, molecular diagnostics, maintenance strategies, relapse sequencing, and access to increasingly biomarker-driven clinical strategies. As treatment algorithms become more sophisticated, clinicians are required to integrate surgical timing, BRCA and HRD testing, frontline maintenance choices, management of resistance, toxicity prevention, and medication interactions into a highly personalized decision-making process. At the same time, the growing complexity of patient journeys requires stronger skills in multidisciplinary discussion, clinical prioritization, communication of difficult scenarios, and sustainable management of professional emotional burden.

This educational program is designed to translate evidence into practical decision tools through an immersive and highly interactive format based on case walls, debate sessions, simulation boards, escape rooms, trial-readiness workshops, and commitment-to-change exercises. Special focus is dedicated to: optimization of PARPi patient selection; therapeutic sequencing at relapse; toxicity prevention and medication safety; clinical trial referral and readiness; implementation of artificial intelligence in clinical practice; communication of progression and difficult therapeutic choices; burnout prevention in high-complexity oncology practice.

The overall aim is to strengthen real-world decision-making skills and promote immediate transfer of advanced ovarian cancer management strategies into daily clinical practice.