RESUMEN
Objective To explore new ways of scientifically collecting and processing clinical information and improve the efficiency of computer management of electronic patient records for large intestinal tumors. Methods An elementalized and standardized analysis and decomposition was made of the information presented by cases of large intestinal tumors and AI aided tabular electronic patient records for large intestinal tumors were designed using the software of Microsoft Access 2000 and compared with the current Word file records. Results A computer management system of electronic patient records for large intestinal tumors was created, with the linkage of the record elements and the electronic tables of the database. Both the speed and quality of patient information input were markedly enhanced. Conclusion AI aided tabular electronic patient records for large intestinal tumors, which are faster and more exact than the Word file records, are beneficial for the speedy input, statistical analysis and AI aided management of clinical information.