Afzal Jawad, Househ Mowafa, Alshagathrh Fahad, Roomi Asad, Alanazi Abdulrahman, Alsaab Yassir, Shahbaz Anam, Baig Mansoor Ali
Prince Sultan Military Medical City, Riyadh, Saudi Arabia.
College of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard, Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Stud Health Technol Inform. 2018;251:167-170.
Medical registries are in a need of a data set that is based on clinical evidence. In 2014, the Saudi Food and Drug Administration (SFDA) launched a plan to develop the national Comprehensive Implantable Medical Device Registry (CIMDR). One of the primary goals of the CIMDR is to develop a clinical -and population- based data set. The aim of this study is to report on the process of developing the data elements for the CIMDR. We used an iterative process of multi-stakeholder consultation over a two year period (2014-2016). The goal of the multi-stakeholder consultations was to build a dataset to address the need for device traceability, effectiveness, safety, and the recall of implantable medical devices. We investigated international and local standards for implantable medical device information capture, conducted a review of the literature, and consulted expert opinions in the development of the CIMDR dataset. The CIMDR data framework includes demographics, patient history, diagnosis, procedure information, and follow-up details for orthopedic and cardiac related implantable medical devices. Most of the dataset elements are logically validated with minimal free text entry to avoid human error and facilitate ease of entry. We use the International Classification for Diseases-Australian Modification as the standardized nomenclature for the CIMDR.
医学注册机构需要一个基于临床证据的数据集。2014年,沙特食品药品管理局(SFDA)启动了一项计划,以开发国家综合植入式医疗器械注册库(CIMDR)。CIMDR的主要目标之一是开发一个基于临床和人群的数据集。本研究的目的是报告CIMDR数据元素的开发过程。我们在两年时间(2014 - 2016年)内采用了多利益相关方协商的迭代过程。多利益相关方协商的目标是构建一个数据集,以满足对植入式医疗器械的可追溯性、有效性、安全性及召回的需求。我们研究了植入式医疗器械信息采集的国际和本地标准,对文献进行了综述,并在CIMDR数据集的开发过程中咨询了专家意见。CIMDR数据框架包括人口统计学、患者病史、诊断、手术信息以及骨科和心脏相关植入式医疗器械的随访细节。大多数数据集元素都经过逻辑验证,尽量减少自由文本输入,以避免人为错误并便于输入。我们使用《国际疾病分类 - 澳大利亚修订版》作为CIMDR的标准化命名法。