Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Department of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Inform Health Soc Care. 2023 Oct 2;48(4):402-419. doi: 10.1080/17538157.2023.2255285. Epub 2023 Dec 6.
Medication errors are the third leading cause of death. There are several methods to prevent prescription errors, one of which is to use a Computerized Physician Order Entry system (CPOE). In a CPOE system, necessary data needs to be collected so that making decisions about prescribing medications and treatment plans could be made. Although many CPOE systems have been developed worldwide, studies have yet to identify the necessary data and data elements of CPOE systems. This study aims to identify data elements of CPOE and standardize these data with Fast Healthcare Interoperability Resources (FHIR) to facilitate data sharing and integration with the electronic health record (EHR) system and reduce data diversity.
PubMed, Web of Science, Embase, and Scopus databases for studies up to October 2019 were searched. Two reviewers independently assessed original articles to determine eligibility for inclusion in this review. All articles describing data elements of a COPE system were included. Data elements were obtained from the included articles' text, tables, and figures.Classification of the extracted data elements and mapping them to FHIR was done to facilitate data sharing and integration with the electronic health record (EHR) system and reduce data diversity. The final data elements of CPOE were categorized into five main categories of FHIR (foundation, base, clinical, financial, and specialized) and 146 resources, where possible. One of the researchers did mapping and checked and verified by the second researcher. If a data element could not be mapped to any FHIR resources, this data element was considered an extension to the most relevant resource.
We retrieved 5162 articles through database searches. After the full-text assessment, 21 articles were included. In total, 270 data elements were identified and mapped to the FHIR standard. These elements have been reported in 26 FHIR resources of 146 ones (18%). In total, 71 data elements were considered an extension.
The results of this study showed that the same data elements were not used in the CPOE systems, and the degree of homogeneity of these systems is limited. The mapping of extracted data with data elements used in the FHIR standard shows the extent to which these systems comply with existing standards. Considering the standards in these systems' design helps developers design more coherent systems that can share data with other systems.
药物错误是导致死亡的第三大原因。有几种方法可以预防处方错误,其中一种是使用计算机化医嘱录入系统(CPOE)。在 CPOE 系统中,需要收集必要的数据,以便做出关于开处方和治疗计划的决策。虽然世界各地已经开发了许多 CPOE 系统,但研究尚未确定 CPOE 系统所需的数据和数据元素。本研究旨在确定 CPOE 的数据元素,并使用快速医疗保健互操作性资源(FHIR)对这些数据进行标准化,以促进与电子健康记录(EHR)系统的数据共享和集成,并减少数据多样性。
检索截至 2019 年 10 月的 PubMed、Web of Science、Embase 和 Scopus 数据库中的研究。两名评审员独立评估原始文章,以确定其是否符合本综述的纳入标准。所有描述 CPOE 系统数据元素的文章均被纳入。从纳入文章的文本、表格和图形中获取数据元素。对提取的数据元素进行分类,并将其映射到 FHIR,以促进与电子健康记录(EHR)系统的数据共享和集成,并减少数据多样性。CPOE 的最终数据元素被分为 FHIR 的五个主要类别(基础、基础、临床、财务和专门)和 146 个资源,如果可能的话。其中一位研究人员进行了映射,并由第二位研究人员进行了检查和验证。如果数据元素无法映射到任何 FHIR 资源,则该数据元素被视为与最相关资源的扩展。
通过数据库搜索共检索到 5162 篇文章。经过全文评估,有 21 篇文章被纳入。共确定了 270 个数据元素,并将其映射到 FHIR 标准。这些元素已在 146 个资源中的 26 个 FHIR 资源中报告(18%)。共有 71 个数据元素被视为扩展。
本研究结果表明,CPOE 系统中并未使用相同的数据元素,这些系统的同质性有限。用 FHIR 标准中使用的数据元素对提取的数据进行映射,表明了这些系统在多大程度上符合现有标准。在这些系统的设计中考虑标准有助于开发人员设计更一致的系统,以便与其他系统共享数据。