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1.
China Pharmacy ; (12): 933-937, 2017.
Article in Chinese | WPRIM | ID: wpr-510171

ABSTRACT

OBJECTIVE:To improve the automation and information level of Pharmacy intravenous admixture service (PIV-AS),and provide reference for the PIVAS development. METHODS:Related functions of DS8000 intelligent sorting system and its effect of PIVAS were introduced;work environment,workflow,work efficiency,labor intensity and sorting error before and af-ter the system application were compared. RESULTS:The application of intelligent sorting system achieved the automation of multi-ple links including reviewing,sorting,automatically counting,automatically generating hand-over lists of departments,statistical inquiring for related information in finished soft bag infusion sorting. Compared with manual sorting,it only covered less area, working environment was neat and orderly,workflow links was reduced (6 vs. 10),work time was shortened (average time for sorting per bag of infusion 13.53 s vs. 3.11 s),labor intensity was decreased,and work error rate was reduced (0.128‰ vs. 0.013‰);meanwhile,it improved the management for shading drugs,and achieved data analysis of PIVAS and management infor-mation. CONCLUSIONS:The application of DS8000 intelligent sorting system has improved the automation and information of PI-VAS,and promoted the construction and development of PIVAS.

2.
China Pharmacy ; (12): 2248-2250, 2016.
Article in Chinese | WPRIM | ID: wpr-504472

ABSTRACT

OBJECTIVE:To introduce the application of intelligent sorting system for prepared infusion in PIVAS of our hospi-tal. METHODS:Intelligent sorting system established by our hospital with barcode scanning technology and relevant hardware de-vices such as automatic drug sorting devices was introduced from system operation environment,system software design and sys-tem function. The effects of the system was evaluated through comparing with manual sorting mode. RESULTS:The intelligent sort-ing system used had such functions as sorting batch selection,intelligent sorting and discharging,information tracing management. Compared to manual sorting,the number of staff under intelligent sorting mode decreased from 7 to 2,sorting errors within 3 months were reduced by 99.0%(591 times vs. 6 times),and the daily sorting errors were reduced by 98.9%(6.57 times vs. 0.07 times). CONCLUSIONS:The system runs stably and sorts accurately,the errors is reduced,the working efficiency is improved and intensity of sorting is reduced,compared to manual sorting.

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