Development of a Minimum Data Set for Drug Module of Computerized Physician Order Entry System

Mahdi Montazeri, Reza Khajouei, E. Mohajeri, L. Ahmadian
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引用次数: 1

Abstract

Introduction: One way to reduce medication errors in the cardiovascular settings is to electronically prescribe medication through the computerized physician order entry system (CPOE). Improper design and non-compliance with users' needs are obstacles to implementing this system. Therefore, it is necessary to consider the standard minimum data set (MDS) of this system in order to meet the basic needs of its users. The aim of this study was to introduce MDS in the cardiovascular CPOE drug system to standardize data items as well as to facilitate data sharing and integration with other systems.Material and Methods: This study was a survey study conducted in 1399 in Iran. The study population was all cardiologists in Iran. The data collection tool was a researcher-made questionnaire consisting of 33 questions. Data were analyzed in SPSS-24 using descriptive statistics.Results: A total of 31 cardiologists participated in this study. The participants identified 19 of the 25 drug data items as essential for drug MDS. Five data items (Medication name, Medication dosage, Medication frequency, Medication start date and Patient medication history) were considered essential by more than 90% of the participants.Conclusion: The results of this study identified drug MDS for the cardiovascular CPOE system. The results of this study can be a model for CPOE system designers to develop new systems or upgrade existing systems.
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计算机化医嘱录入系统药物模块最小数据集的开发
前言:减少心血管疾病用药错误的一种方法是通过计算机化医嘱输入系统(CPOE)电子开药。设计不当和不符合用户需求是实施该系统的障碍。因此,有必要考虑该系统的标准最小数据集(MDS),以满足其用户的基本需求。本研究的目的是将MDS引入心血管CPOE用药系统,以规范数据项目,促进与其他系统的数据共享和集成。材料与方法:本研究为1399年在伊朗进行的一项调查研究。研究对象均为伊朗的心脏病专家。数据收集工具是一份由研究者自行制作的问卷,共有33个问题。数据在SPSS-24中采用描述性统计进行分析。结果:共有31名心脏病专家参与了本研究。参与者确定了25个药物数据项中的19个对于药物MDS至关重要。超过90%的参与者认为药物名称、用药剂量、用药频率、开始用药日期和患者用药史这五个数据项是必不可少的。结论:本研究结果确定了药物MDS用于心血管CPOE系统。本研究结果可作为CPOE系统设计者开发新系统或升级现有系统的模型。
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