ABSTRACT
ABSTRACT OBJECTIVE：To establish the infusion sequence regulation procedure of PIVAS，and implement individual regulation. METHODS：By combining factors such as liquid volume of each batch，incompatibility between groups and specific solvents of specific drugs，intelligent prompt system and the artificial intelligent regulation system of infusion sequence were successively established to sequence the therapeutic drugs and adjuvant drugs used for the patients with different diagnoses and different purposes in different inpatient areas in a day，so as to realize intelligent control of individual infusion sequence. From Jan. to Sept. in 2017 and from Jan. to Sept. in 2019 as research stages before and after the intelligent control of individualized infusion sequence，the control effect was evaluated with the proportion of reasonable number of infusion priority cases，the proportion of appropriate number of elderly patients’batch liquid volume cases，the proportion of incompatibility cases between separate groups， the number and cost of flushing tubes as index. RESULTS：After regulating infusion sequence individually，the proportion of reasonable infusion priority rose from 5.56％ to 98.72％ ；the proportion of batch liquid quantity appropriate cases in elderly patients rose from 9.58％ to 98.10％；the proportion which separated the incompatibility between groups rose from 41.03％ to 99.12％；the number of washing tube dropped to（0.95±0.43）times/ward/d from（12.95±0.57）times/ward/d；the cost of washing tube could be saved 85 800 yuan/year. CONCLUSIONS：The implementation of individualized infusion sequence regulation promote safe and effective infusion，and provide reference for pharmacists of PIVAS in China to carry out precise pharmaceutical care.
ABSTRACT
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.