ABSTRACT
In order to complete the information statistics and submission work of designated hospitals with high quality, a hospital uses the agile business intelligence system to carry out information construction, and realize the statistics, analysis and auxiliary management decision-making of COVID-19 patients′ admission data. Based on the low-load and full-volume data capture mechanism, relevant basic data in the background of the hospital information system was extracted, and the admission information visualization and early warning analysis system was built by establishing data relations, data modeling and other methods. The hospital completed 634 batches of data statistics and reporting tasks of 2 943 patients in a timely and efficient manner, and assisted clinical diagnosis and treatment improvement and hospital leadership decision-making by using data analysis, early warning feedback and other functions.