Application of Intelligent Pharmacy Information Management System in Setting of Outpatient Dispensing Window

OBJECTIVE To realize special management drugs and specialized drugs in outpatient pharmacy to be dispensed at specific windows by analyzing the prescription data with the help of the intelligent pharmacy information management system. METHODS The EIQ-ABC classification method was used to analyze the variety and quantity of drugs in the prescription, the daily drug delivery volume and drug delivery frequency of a single variety, and to determine the drug variety and dispensing mode of a specific drug delivery window in combination with the drug use characteristics of clinical departments. Through optimization and debugging, the balanced distribution of prescription work volume among various drug delivery windows and rapid and accurate drug delivery were realized. Through the automated pharmacy management system, the average time of pharmacists dispensing prescriptions and the average time of patients taking medicine were compared before and after the improvement; the improvement of prescription dispensing errors and drug withdrawal cases were counted through pharmacy management records. RESULTS Two hundred and fifty-four drugs were selected to be dispensed in 4 specific dispensing windows, and the effects before and after setting the specific dispensing windows were compared. The average time taken by pharmacists to dispense prescriptions was shortened to 16 s, the average time taken by patients to take medicine was shortened to 160 s, the error rate of prescription dispensing was reduced to 0.20‱, and the number of drug returns was reduced to 15 persons per month. CONCLUSION With the help of the intelligent pharmacy information management system, the traditional dispensing mode of pharmacy competition or average prescription distribution can be optimized, and the outpatient windows for dispensing special management drugs and special drugs can be set reasonably to provide high-quality pharmaceutical care for patients.