Abstract:Objective：To establish and optimize the process of SARS-CoV-2 nucleic acid detection and in hospital，so as to meet the needs of epidemic prevention and control and clinical patients. Method：The existing problems of nucleic acid detection process were analyzed，and a standardized system was established by using PDCA cycle. At the same time，the data from October to December，2020 and October to December，2021 were collected and analyzed statistically by SPSS 22.0 software，to evaluate the optimization effect of PDCA cycle. Results：After PDCA cycle optimization，the total number of median samples increased from 20，307 to 71，403 and the difference was statistically significant（P=0.018）. The median inspection time was shortened from 224 min to 208 min，the median detection time was shortened from 234 min to 151 min，and the median reporting time was shortened from 461 min to 371 min. The difference was also statistically significant（P < 0.001）. Conclusion：The application of PDCA cycle could formulate and improve the standardized nucleic acid detection process continuously，contributing to improve the hospital detection ability and service level.