Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Pulmonary and Critical care Medicine Department, Thoracic Research Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Int J Health Plann Manage. 2021 May;36(3):754-783. doi: 10.1002/hpm.3106. Epub 2021 Jan 27.
When an outbreak emerged, each country needs a coherent and preventive plan to deal with epidemics. In the era of technology, adopting informatics-based solutions is essential. The main objective of this study is to propose a conceptual framework to provide a rapid and responsive surveillance system against pandemics.
A three-step approach was employed in this research to develop a conceptual framework. These three steps comprise (1) literature review, (2) extracting and coding concepts, and determining main themes based on thematic analysis using ATLAS.ti® software, and (3) mapping concepts. Later, all of the results synthesized under expert consultation to design a conceptual framework based on the main themes and identified strategies related to medical informatics.
In the literature review phase, 65 articles were identified as eligible studies for analysis. Through line by line coding in thematic analysis, more than 46 themes were extracted as potential foremost themes. Based on the key themes and strategies were employed by studies, the proposed framework designed in three main components. The most appropriate strategies that can be used in each section were identified based on the demands of each part and the available solutions. These solutions were employed in the final framework.
The presented model in this study can be the first step for a better understanding of the potential of medical informatics solutions in promoting epidemic disease management. It can be applied as a reference model for designing intelligent surveillance systems to prepare for probable future pandemics.
当疫情爆发时,每个国家都需要一个连贯且具有预防作用的计划来应对疫情。在这个科技时代,采用基于信息学的解决方案至关重要。本研究的主要目的是提出一个概念框架,以提供一种针对大流行的快速和响应式监测系统。
本研究采用三步法来开发概念框架。这三个步骤包括(1)文献回顾,(2)使用 ATLAS.ti®软件进行主题分析,提取和编码概念,并确定主要主题,以及(3)概念映射。之后,所有结果均经过专家咨询进行综合,以根据主要主题和确定的与医学信息学相关的策略来设计概念框架。
在文献综述阶段,确定了 65 篇符合分析要求的文章。通过主题分析的逐行编码,提取了超过 46 个主题作为潜在的首要主题。基于研究中采用的关键主题和策略,设计了由三个主要部分组成的框架。根据每个部分的需求和可用解决方案,确定了每个部分可以使用的最合适的策略。这些解决方案被应用于最终框架中。
本研究提出的模型可以作为更好地理解医学信息学解决方案在促进疾病管理方面潜力的第一步。它可以作为设计智能监测系统的参考模型,为可能出现的未来大流行做好准备。