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1.
China Medical Equipment ; (12): 50-52, 2017.
Article in Chinese | WPRIM | ID: wpr-613259

ABSTRACT

Objective:To optimize the storage placement of drug in automatic dispensing machine so as to increase the dispensing speed and work efficiency.Methods: The drugs were dispensed on the up and down side of the center of axle wire from high to low according to the dispensed frequency. The application regularity of various drugs was analyzed by using a number of prescription information and the relevant drugs were stored in nearest tank aroundthe drug outlet as the principle of minimum time algorithm. Through optimizing the storage placement of automatic dispensing machine and applying average dispensing time as evaluation index, the change of average dispensing time between before and after 3 months of the optimization of storage placement was analyzed.Results: After the storage placement was optimized, average dispensing time was shortened 2.0s. And the difference of the time between before and after optimization was statistically significant (t=11.92,P<0.05). Conclusion: Through applying minimum time algorithm, the optimized storage placement of automatic dispensing machine shortens the dispensing time of prescription and increases work efficiency.

2.
China Pharmacy ; (12): 3112-3114, 2015.
Article in Chinese | WPRIM | ID: wpr-500964

ABSTRACT

OBJECTIVE:To optimize the drug placement in the automated drug dispensing machine to improve work efficien-cy. METHODS:Based on the principle of the minimum time algorithm,the drug which would be used at a high frequency was placed in the drug storage tank nearest to the drug outlet. Meanwhile,the rule of drug use was drawn from the information on a large number of prescriptions,based on which the drugs correlated with each other were placed in the drug storage tanks that were adjacent. With daily time it takes to add drugs,average time it takes to make up a prescription and the maximum number of drugs stored as the evaluated indexes,the initial drug placement in the automated drug dispensing machine was optimized. The changes in the indexes within 3 months before and after the above-mentioned optimization were statically analyzed. RESULTS:After calculat-ing the three-dimensional sizes of the packages of drugs and the dispensing frequency data of the previous year,354 drugs were se-lected and placed in the nearer or farther storage tanks in the automated dispensing machine according to the dispensing frequency and the correlation among them. After the optimization of the placement,daily time it takes to add drugs reduced by 54 min(218 vs. 165 min)on average,average time it takes to make up a prescription reduced by 8 s(24 vs.16 s)and the maximum number of drugs stored increased by 1 333 boxes(13 113 vs. 14 446 boxes)on average. There was statistical significance in differences(P<0.05). CONCLUSIONS:The initial drug placement in the automated drug dispensing machine that was optimized by minimum time algorithm has reduced daily time it takes to add drugs and average time it takes to make up a prescription and increased the maximum number of drugs stored and thus improved work efficiency.

3.
China Pharmacy ; (12)2007.
Article in Chinese | WPRIM | ID: wpr-531485

ABSTRACT

OBJECTIVE:To introduce how to use the automated drug dispensing machine to prepare drugs in single dose and to introduce our experience in the application of this machine. METHODS:The working principe, application context, and the functional advantage of the machine were introduced, and the problems encountered in the use of the machine was analyzed based on our experience, and the prospect of the machine was discussed. RESULTS: The machine enjoys the advantages of raising work efficiency, lowering dispensing error rate and bringing about convenience for patient to use, but it has its limitation in that it proposes higher requirement for software and hardware environment. CONCLUSION: The application of this automatic system will be more widespread with people’s increasing demand on medical care.

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