Accurate cancer registration coding is crucial fornational health policies. However, the review process at the study hospital has proven to be time-consuming, with a form return rate of only 53% after 1 month and a total review time of 2 months. This project aimed to enhance the efficiency of the cancer coding reviews by identifying factors hindering progress, and mapping workflows using the suppliers, inputs, process, outputs, customers (SIPOC) model, and collaborating with crossdisciplinary experts to develop improvement strategies.
The intelligent review process was achieved by adopting a user-centered approach that integrated cloud-based electronic medical records, strengthened the use of encrypted virtual private network (VPN) channels, automated review notifications through text messages, and combined cancer staging automatically. These innovations reduced the review time from 19,199 to 7,048 minutes, which met our improvement goals. The project also generated cost savings and aligned with environmental, social, and corporate governance standards. In addition to improving efficiency, this initiative advanced paperless hospital operations, establishing a foundation for future medical informatization and enhancing cancer diagnosis and treatment quality.