ArticleSpringerPlus2016
A concise drug alerting rule set for Chinese hospitals and its application in computerized physician order entry (CPOE).
Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medication safety alert fatigue may be reduced via interaction design and clinical role tailoring: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- A scoping review of knowledge authoring tools used for developing computerized clinical decision support systems.JAMIA open · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA minimized and concise drug alerting rule set can be effective in reducing alert fatigue.
objectivesThis study aims to develop and evaluate a concise drug alerting rule set for Chinese hospitals. The rule set covers not only western medicine, but also Chinese patent medicine that is widely used in Chinese hospitals.
settingA 2600-bed general hospital in China.
methodsIn order to implement the drug rule set in clinical information settings, an information model for drug rules was designed and a rule authoring tool was developed accordingly. With this authoring tool, clinical pharmacists built a computerized rule set that contains 150 most widely used and error-prone drugs. Based on this rule set, a medication-related clinical decision support application was built in CPOE. Drug alert data between 2013/12/25 and 2015/07/01 were used to evaluate the effect of the rule set.
main outcome measureNumber of alerts, number of corrected/overridden alerts, accept/override rate.
resultsTotally 18,666 alerts were fired and 2803 alerts were overridden. Overall override rate is 15.0% (2803/18666) and accept rate is 85.0%.
conclusionsThe rule set has been well received by physicians and can be used as a preliminary medical order screening tool to reduce pharmacists' workload. For Chinese hospitals, this rule set can serve as a starter kit for building their own pharmaceutical systems or as a reference to tier commercial rule set.
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