1.Intervention Effect of “Intelligent Interactive Software for Drug Monitoring Warning”
Xiaobo ZHAI ; Zhigao HE ; Chuanmin WEN ; Siwei BAO ; Fang FANG
China Pharmacist 2014;(2):277-280
Objective:To analyze the intervention effect of a successfully created platform“intelligent interactive software for drug monitoring warning” on the decrease of medication errors and adverse drug events,and the increase of the drug treatment level. Meth-ods:The intensive care unit ( ICU) of our hospital was selected as the experiment group, and the ICU of the other two hospitals was used as the contrast group. During the first 18 months, both groups were without intervention. During the latter 18 months, the plat-form was used in the experiment group, and the clinical pharmacists employed alerts of the system in the practice of interaction with doctors to correct the medication errors. No intervention was performed in the contrast group. In addition, all adverse drug events in both groups were surveyed. Results:During the first period, 50 preventable adverse drug events were discovered with the incidence of 6. 8% in the experimental group. During the second period, the correct rate of the alerts was 97. 7%. Through the effective interven-tion,the alerts and their percentage in the prescriptions were from the maximum of 68 and 1. 1% to the minimum of 6 and 0. 1%. To-tally 17 preventable adverse drug events were found with the incidence of 2. 4% after the intervention. The decline was significant, 848 991 yuan of hospitalization expenses was saved, and 294 days of the length of stay were shortened. There was no change in the contrast group, and there was no change in unpreventable adverse drug events in the two groups before and after the intervention. Conclusion:The intelligent interactive software for drug monitoring warning can examine many sorts of medication errors,and decline the inci-dence rate of preventable adverse drug events in ICU. However, it needs to continuously improve the intelligence. Clinical pharmacists need to master the relevant conditions of patients to detect the irrational drug use based on the clinical practice for each patient.