Haghiri Hamideh, Rabiei Reza, Hosseini Azamossadat, Moghaddasi Hamid, Asadi Farkhondeh
Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Acta Inform Med. 2019 Dec;27(4):268-277. doi: 10.5455/aim.2019.27.268-277.
The wide range of notifiable diseases and the need for immediate reporting complicate the management of these diseases. Developing a surveillance system using precise architectural principles could ease the management of these diseases.
The present study reviews the data architecture of notifiable diseases surveillance systems to provide a basis for developing such systems.
A systematic review was conducted on the literature focused on data architecture of notifiable diseases surveillance systems. The searches for relevant English language articles were conducted based on the paper keywords, as well as the words Mesh and EMTREE.
The findings were categorized into five groups, including organizations involved in the generation and monitoring of notifiable diseases' data. The databases in the present study were relational and used a centralized architecture for information sharing. The minimum dataset was determined in two information categories. The data standards were categorized into three main groups. The key approaches for data quality control included checking the completeness, timeliness, accuracy, consistency, adequacy, and validity of the data.
Developing a notifiable diseases surveillance based on data architecture principles could lay the foundation for better management of such diseases through eliminating the obstacles experienced during data generation, data processing, and data sharing.
应报告疾病种类繁多且需即时报告，这使得这些疾病的管理变得复杂。运用精确的架构原则开发监测系统有助于这些疾病的管理。
本研究回顾应报告疾病监测系统的数据架构，为开发此类系统提供依据。
对聚焦于应报告疾病监测系统数据架构的文献进行系统综述。基于论文关键词以及医学主题词表（Mesh）和《循证医学与卫生保健术语库》（EMTREE）中的词汇，检索相关英文文章。
研究结果分为五组，包括参与应报告疾病数据生成和监测的组织。本研究中的数据库为关系型数据库，采用集中式架构进行信息共享。在两个信息类别中确定了最小数据集。数据标准分为三大类。数据质量控制的关键方法包括检查数据的完整性、及时性、准确性、一致性、充分性和有效性。
基于数据架构原则开发应报告疾病监测系统，可通过消除数据生成、数据处理和数据共享过程中遇到的障碍，为更好地管理此类疾病奠定基础。
