In the context of increasingly stringent clinical trial quality control, the establishment of Data Monitoring Committees (DMCs) has become essential for ensuring scientific rigor and ethical compliance. As a key tool for DMC decision-making, interim analysis reports play a critical role in assessing trial safety and efficacy. However, current DMC reports often exhibit significant shortcomings, such as complexity, lack of logical structure, data redundancy, and limited practical utility. These issues hinder effective risk-benefit evaluations required by regulatory standards. This paper identifies and analyzes these deficiencies and their associated risks, aiming to provide actionable recommendations for developing systematic, concise, and accurate DMC reports. Such improvements will support DMCs in making informed, scientifically sound decisions while enhancing the overall quality of clinical trial oversight.