Ajami Sima, Ahmadi Golchehreh, Saghaeiannejad-Isfahani Sakineh, Etemadifar Masoud
Department of Health Information Technology and Management, School of Medical Management and Information Sciences, Isfahan, Iran.
Department of Health Information Technology and Management, Social Determinant of Health Research Center, Isfahan, Iran.
J Educ Health Promot. 2014 Nov 29;3:107. doi: 10.4103/2277-9531.145894. eCollection 2014.
Establishing and developing minimum data set (MDS), controlled vocabularies, taxonomies and classification systems are requirements of health information system in every society.
The aim of this study was to propose an integrated multiple sclerosis (MS) data set by comparing European database for multiple sclerosis (EDMUS Coordinating Center Lyon, France) and iMed(©) software's (iMed, Merck Serono SA - Geneva). EDMUS is being developed at the EDMUS coordinating centers in Lyon, France and iMed(©) is owned and distributed by Merck Serono in Geneva, Switzerland.
Retrieval of data of MDS performed through scholars responsible in related agencies and clinics.
This research was an applied. The study was comparative-exploratory. In this study, data elements in iMed(©) and EDMUS software's were compared. Data collecting tool was data raw form.
Results analyzing was carried out in a descriptive-comparative method. MS data elements were proposed in three general categories: administrative; clinical; and socio-economic. In this study, a MS data set was suggested by studying data elements of EDMUS and iMed(©) softwares.
The MS data set includes administrative, clinical and socio-economic data elements that collect information of MS patients during the treatment course. iMed(©), EDMUS and other available databases are suitable patterns for determining and recognizing MS key data elements.
Developing MS data set in this study and studying other available MS information systems result in establishing standardized MS data set. By establishing this data set, it will be possible to present MS MDS internationally. MS MDS is the main base of establishing MS information systems at different levels.
建立和开发最小数据集(MDS)、控制词汇表、分类法和分类系统是每个社会卫生信息系统的要求。
本研究的目的是通过比较欧洲多发性硬化症数据库(法国里昂的EDMUS协调中心)和iMed(©)软件(iMed,默克雪兰诺公司 - 日内瓦)来提出一个综合的多发性硬化症(MS)数据集。EDMUS正在法国里昂的EDMUS协调中心开发,iMed(©)由瑞士日内瓦的默克雪兰诺公司拥有和分发。
通过相关机构和诊所的负责人检索MDS数据。
本研究是应用型的。该研究是比较探索性的。在本研究中,比较了iMed(©)和EDMUS软件中的数据元素。数据收集工具是数据原始表格。
结果分析采用描述性比较方法。MS数据元素分为三大类:管理类;临床类;和社会经济类。在本研究中,通过研究EDMUS和iMed(©)软件的数据元素提出了一个MS数据集。
MS数据集包括管理、临床和社会经济数据元素,这些元素收集MS患者治疗过程中的信息。iMed(©)、EDMUS和其他可用数据库是确定和识别MS关键数据元素的合适模式。
本研究中开发MS数据集并研究其他可用的MS信息系统有助于建立标准化的MS数据集。通过建立这个数据集,将有可能在国际上展示MS MDS。MS MDS是在不同层面建立MS信息系统的主要基础。