Ghabi Elie, Farah Wehbeh, Abboud Maher, Chalhoub Elias, Ziade Nelly, Annesi-Maesano Isabella, Abi-Habib Laurie, Mrad Nakhle Myriam
Faculty of Medicine, University of Balamand.
UEGP, Faculty of Sciences, Saint Joseph University of Beirut.
J Public Health Res. 2021 Mar 23;10(1):1722. doi: 10.4081/jphr.2021.1722.
Health information records in many countries, especially developing countries, are still paper based. Compared to electronic systems, paper-based systems are disadvantageous in terms of data storage and data extraction. Given the importance of health records for epidemiological studies, guidelines for effective data cleaning and sorting are essential. They are, however, largely absent from the literature. The following paper discusses the process by which an algorithm was developed for the cleaning and sorting of a database generated from emergency department records in Lebanon.
Demographic and health related information were extracted from the emergency department records of three hospitals in Beirut. Appropriate categories were selected for data categorization. For health information, disease categories and codes were selected according to the International Classification of Disease 10th Edition.
A total of 16,537 entries were collected. Demographic information was categorized into groups for future epidemiological studies. Analysis of the health information led to the creation of a sorting algorithm which was then used to categorize and code the health data. Several counts were then performed to represent and visualize the data numerically and graphically.
The article describes the current state of health information records in Lebanon and the associated disadvantages of a paper-based system in terms of storage and data extraction. Furthermore, the article describes the algorithm by which health information was sorted and categorized to allow for future data analysis using paper records.
许多国家，尤其是发展中国家的健康信息记录仍以纸质形式存在。与电子系统相比，纸质系统在数据存储和数据提取方面存在劣势。鉴于健康记录对流行病学研究的重要性，有效的数据清理和分类指南至关重要。然而，文献中对此大多缺乏相关内容。以下论文讨论了为清理和分类黎巴嫩急诊科记录生成的数据库而开发算法的过程。
从贝鲁特三家医院的急诊科记录中提取人口统计学和健康相关信息。选择合适的类别进行数据分类。对于健康信息，根据《国际疾病分类》第10版选择疾病类别和代码。
共收集了16537条记录。将人口统计学信息分类以便未来进行流行病学研究。对健康信息的分析导致创建了一种分类算法，该算法随后用于对健康数据进行分类和编码。然后进行了几次计数，以数字和图形方式表示和可视化数据。
本文描述了黎巴嫩健康信息记录的现状以及纸质系统在存储和数据提取方面的相关劣势。此外，本文描述了对健康信息进行分类和排序的算法，以便未来使用纸质记录进行数据分析。
