Abstract: Objective: To analysis the track and rules of improved nursing quality by conducting periodic measurement and continuous improvement of nursing quality of the core work of nurses, including drug administration, blood transfusion, drug allergy experiment, specimen collection and submission, and monitoring. Methods: From 2015 to 2018, 201254 pieces of corresponding data were extracted from the clinical information system during the implementation of medical orders by nurses. Nursing quality was classified and measured by indicators including accuracy, timeliness and effectiveness. Three months was referred as a cycle of quality and the data of each quality indicator at different periods were compared. Results: Compared with the baseline quality, statistically significant difference (P<0.05) appeared in the second quality improvement cycle, almost all results of the quality cycle were superior to the baseline data. Compared with the quality of the previous cycles, statistical difference (P<0.05) appeared in the quality improvement cycle and maintenance time. Conclusion: The off-site quality measurement of big data achieves objective, fair and real-time quality measurement, forms a specialized, scientific and accurate quality control process with specificity, collection and replication, and reveals the trajectory and rules of quality improvement.

Key words: nursing quality; big data; trajectory; lean management