Halal Research Center of IRI, FDA, Tehran, Iran; Associate Professor of Health Information Management, Health Information Management Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Associate Professor of Pulmonary and Critical Care Department, Thoracic Research Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Int J Med Inform. 2020 Apr;136:104096. doi: 10.1016/j.ijmedinf.2020.104096. Epub 2020 Feb 5.
Lung transplantation is one of the advanced treatment options performed even in patients suffering from end-stage lung disease. Due to the positive results of medical informatics in other fields of medicine, lung transplant researchers have also conducted remarkable studies to improve transplant outcomes. The main objective of this article was to review the current studies of health information technology used in lung transplantation.
A systematic search was performed in four scientific databases (Web of Science, Scopus, Science Direct, and PubMed) from January 2000 to December 2018. The criteria for inclusion were included in any study describing the use of health information technology or medical informatics in terms of lung transplantation, English papers, and original researchers. The retrieved articles were accordingly screened based on the inclusion and exclusion criteria to select relevant studies. The survey and synthesis of included articles were conducted based on predefined classification.
Out of 263 articles, 27 studies met our inclusion criteria. All included studies involved the application of health information technology in lung transplantation. The types of health information technology methods applied in reviewed articles included mhealth (11.1 %), DSS (7.4 %), decision aid tools (7.4 %), telemedicine (22.2 %), AI methods (11.1 %), data mining (37 %), and patient education (3.7 %). The majority of studies (88.9 %) showed the positive impact of health information technology to enhance lung transplantation outcomes. Finally, the main approaches in different phases of lung transplantation processes were interpreted and summarized in the visual model.
This systematic review provides new insights regarding the application of medical informatics in the lung transplantation domain. The missing areas of medical informatics in the lung transplantation domain were recognized through this study.
肺移植是终末期肺病患者的一种先进治疗选择。由于医学信息学在其他医学领域的积极成果，肺移植研究人员也进行了显著的研究，以改善移植结果。本文的主要目的是回顾用于肺移植的健康信息技术的当前研究。
从 2000 年 1 月至 2018 年 12 月，在四个科学数据库（Web of Science、Scopus、Science Direct 和 PubMed）中进行了系统搜索。纳入标准包括描述任何研究，即描述健康信息技术或医学信息学在肺移植方面的应用，英文论文和原始研究人员。根据纳入和排除标准，对检索到的文章进行相应筛选，以选择相关研究。根据预定义的分类，对纳入的文章进行调查和综合。
在 263 篇文章中，有 27 篇符合我们的纳入标准。所有纳入的研究都涉及健康信息技术在肺移植中的应用。在综述文章中应用的健康信息技术方法类型包括移动医疗（11.1%）、决策支持系统（7.4%）、决策辅助工具（7.4%）、远程医疗（22.2%）、人工智能方法（11.1%）、数据挖掘（37%）和患者教育（3.7%）。大多数研究（88.9%）表明健康信息技术对提高肺移植结果具有积极影响。最后，在肺移植过程的不同阶段，对主要方法进行了解释和总结。
这项系统综述提供了关于医学信息学在肺移植领域应用的新见解。通过这项研究，我们认识到了肺移植领域医学信息学的缺失领域。
