当前位置: X-MOL 学术Int. J. Med. Inform. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Systematic review of using medical informatics in lung transplantation studies.
International Journal of Medical Informatics ( IF 4.9 ) Pub Date : 2020-02-05 , DOI: 10.1016/j.ijmedinf.2020.104096
Leila Shahmoradi 1 , Hamidreza Abtahi 2 , Shahideh Amini 3 , Marsa Gholamzadeh 4
Affiliation  

BACKGROUND 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. METHODS 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. RESULTS 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. CONCLUSION 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.

中文翻译:

在肺移植研究中使用医学信息学的系统评价。

背景技术即使在患有终末期肺部疾病的患者中,肺移植也是进行的高级治疗选择之一。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出色的研究以改善移植效果。本文的主要目的是回顾当前在肺移植中使用的健康信息技术的研究。方法从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)中进行了系统的搜索。所有描述健康信息技术或医学信息学使用的研究均纳入了纳入标准。肺移植术语,英文论文和原始研究人员。因此,根据纳入标准和排除标准筛选检索到的文章,以选择相关研究。根据预定义的分类对纳入文章进行调查和综合。结果在263篇文章中,有27项研究符合我们的纳入标准。所有纳入的研究均涉及健康信息技术在肺移植中的应用。评论文章中使用的健康信息技术方法类型包括:移动医疗(11.1%),直觉安全服务(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%)显示了健康信息技术对增强肺移植结果的积极影响。最后,在视觉模型中解释并总结了肺移植过程不同阶段的主要方法。结论本系统综述提供了有关医学信息学在肺移植领域的应用的新见解。通过这项研究认识到肺移植领域医学信息学的缺失领域。
更新日期:2020-02-06
down
wechat
bug