利用处方自动筛选系统进行处方点评及结果分析

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Abstract Objective To comment and analyze on prescriptions by Prescription Automatic Screening System in order to enhance the level of rational drug-usage in hospitals. Methods 1800 outpatient prescriptions were screened by Prescription Automatic Screening System and commented according to the contents and basis. Results There were 2.50 drugs on average per prescription in all of the prescriptions. The rate of antimicrobial usage was 31.41%. The rate of injection rate was 23.21%. The rate of generic name usage was 76.33%. The amount of prescription was 178.39 yuan on average per outpatient. The rate of rational drug-usage was 95.53%. Irrational prescriptions were 81, including 38.27% non-standard prescriptions, 55.56% drug-usage inappropriate prescriptions and 6.17% supernormal prescriptions. There were some mainly problems in these irrational prescriptions, such as not to write a clinical diagnosis or nonstandard diagnosis, upper respiratory tract infections with cefixime, tooth extraction with amoxicillin and roxithromycin, alprostadil with 100ml normal saline, taking broken aspirin enteric-coated tablet, hypertension with felodipine, nifedipine, losartan, benazepril, prazosin and metoprolol. Conclusions Forewarning and screening of prescription automatic screening system that provided important data support for the comments and analysis on prescriptions are playing an important practical significance on improving the level of rational drug-usage in medical institutions.

Key words： comments on prescriptions prescription automatic screening system rational drug-usage

Received: 03 June 2015

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	Articles by authors
	HUANG Haitao
	LI Nan
	LI Jing
	DAI Hao
	ZUO Song
	KE Guoping
	HAN Ruohui

Cite this article:

HUANG Haitao,LI Nan,LI Jing等. Comments and analysis on prescriptions by prescription automatic screening system[J]. Med. J. Chin. Peop. Armed Poli. Forc., 2016, 27(2): 149-153.

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http://journal08.magtechjournal.com/Jwk_wjyx/EN/ OR http://journal08.magtechjournal.com/Jwk_wjyx/EN/Y2016/V27/I2/149

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[1]	. [J]. Med. J. Chin. Peop. Armed Poli. Forc., 2019, 30(5): 449-451.