e23031 Background: Clinical trials (CTs) are a key element in researching and developing new technologies for cancer. Assessing the economic impact of CTs and the potential savings for healthcare systems in Low- and Middle-Income Countries (LMICs) is vital to guide healthcare decision-making. This research aims to quantify the budget impact for the Colombian Health System of including hematology and oncology patients in sponsored clinical trials. Methods: This study uses real-world data (RWD) from CTIC, a high-complexity cancer center from Bogotá, Colombia. We followed the Budget Impact Analysis methodology defined by the local HTA agency using data for five tumors retrieved from an institutional data lake resource using clinical information and related costs. Tumors were selected based on their prevalence and economic burden. CTIC’s clinical experts validated the cost-generating events for each disease. The eligible population for phase 3 clinical trials was estimated from the literature and CTIC oncology units’ leaders’ opinions. Prevalent and incident population data were obtained from the Colombian High-Cost Account (CAC). Results: There are 7,703 potential patients to be included in CTs, representing a total cost of 217,544,023 for 2023 USD (1 USD = 4,325 COP). If at least 25% of patients with these tumors were included in CTs in 2023, the approximate cost would be 54,386,006 USD. Advanced prostate cancer represented the highest cost, given its prevalence and CT inclusion opportunity. Conclusions: With approximately USD 24 billion spent on healthcare (USD 5 billion in drugs), Colombia could save around 4% of its drug expenditure if all potential candidates were to be included in cancer CTs. Furthermore, assuming similar average costs per patient, inclusion rates, and population growth for 5-years, this could represent savings of around USD 1.1 billion. These savings would ease the reimbursement and access to innovation for Colombian patients, improving health outcomes and enhancing long-term financial sustainability. [Table: see text]