OBJECTIVE：To evaluate th e eff ects of infusion sequence regulation on the promotion of intravenous rational drug use. METHODS ：The intelligent control of infusion sequence was realized with Markov chain machine learning method on the basis of intelligent reminder manual labeling infusion sequence. Selected from Binhu Hospital of Hefei during Jan. to Sept. 2017， 164 800 inpatients’medication orders were collected as data before intelligent control of infusion sequence ，and 264 600 inpatients’ medication orders were collected as data after intelligent control of infusion sequence. The correct rate of incompatibility ，storage time limit ，administration frequency ，chronopharmacology，preventive drugs ，drug interaction ，auxiliary drugs and infusion sequence for intravenous irritant drugs were compared before and after regulation ；the times of flushing tube ，the cost of flushing tube infusion and the change of liquid property in the infusion tube were compared before and after regulation. RESULTS ：The correct rate of incompatibility ，storage time limit ，administration frequency ，chronopharmacology，drug interaction and infusion sequence for auxiliary drugs after regulation were significantly higher than before regulation ；the correct rate of infusion sequence for preventive drugs and intravenous irritant drugs ，the times of flushing tube ，the cost of flushing tube infusion and the case number of the liquid change （proportion） in infusion tube were significantly lower than before regulation （P＜0.001）. CONCLUSIONS：Intelligent regulation of infusion sequence can improve the rationality of intravenous medication sequence to a certain extend.