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1.
Modern Hospital ; (6): 669-671, 2018.
Artigo em Chinês | WPRIM | ID: wpr-698895

RESUMO

Objective To provide referential information for intelligent construction in hospital pharmacy. Methods Combined with the practical application, this paper introduces the practice and experience of the intelligent construction of pharmacy in our hospital. Results The construction of intelligent hospital pharmacy improves the drug management level, improves work efficiency and increases the accuracy of the drug dispensing, increases medication guide time, improves patient compliance and satisfaction and reduces the work intensity of pharmacists. Conclusion The intelligent construction of hospital pharmacy has promoted the development of pharmacy and laid a good foundation for the comprehensive and in-depth development of pharmaceutical care.

2.
China Pharmacy ; (12): 4839-4842, 2017.
Artigo em Chinês | WPRIM | ID: wpr-663595

RESUMO

OBJECTIVE:To explore the automated intelligent construction and effect of pharmacy intravenous admixture servic-es(PIVAS)in our hospital. METHODS:The main situation of automated intelligent construction and effect of PIVAS in our hospi-tal was introduced,the time and error rate of related links before(Jul.-Sept. 2016)and after(Oct.-Dec. 2016)the automated intelli-gent construction of PIVAS in our hospital were collected,and its effects were evaluated. RESULTS:Our hospital conducted auto-mated intelligent construction in selecting,labeling,sorting and delivering medicines in PIVAS and established related system and process construction. After automated intelligent construction,time for selecting medicines per medical order was shortened from (6.78±0.87)s to(2.65±0.71)s;time for labeling was shortened from(3.24±0.71)s to(1.41±0.55)s;time for sorting a bag of finished infusion was shortened from (13.37 ± 2.84) s to (5.33 ± 1.72) s;and time for delivering the same amount of infusion shortened from (35.64 ± 4.33) min to (18.12 ± 3.57) min (P<0.05). The error rate of selecting medicines was decreased from (2.35 ± 0.59)‰ to (0.26 ± 0.21)‰;error rate of labeling was decreased from (1.51 ± 0.45)‰ to (0.22 ± 0.10)‰;error rate of misclassifying in a wrong ward was decreased from(3.47±1.02)‰ to(0.17±0.10)‰;and error rate of delivering was decreased from(1.33±0.55)‰ to(0.13±0.11)‰(P<0.05). CONCLUSIONS:The automated intelligent construction in PIVAS of our hos-pital has improved work efficiency,reduced error rate and potential medication risk and improved management level in PIVAS.

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