As the core component of medical information systems, the medical record front page holds significant value in healthcare quality management, health statistics, and medical insurance payment. This study systematically analyzes the standardized characteristics of medical record front pages and their core functions in raw data collection, diagnostic information processing, and quality assessment, while thoroughly examining current challenges, including information system deficiencies and inadequate data standardization. The research proposes optimization approaches based on intelligent auditing platforms, comprehensive monitoring systems, and big data analytics tools. Findings demonstrate that establishing intelligent management systems, improving standardized training mechanisms, and innovating statistical analysis methods can significantly enhance the data quality of medical record front pages. These improvements will provide reliable data support for healthcare quality enhancement and refined management practices.