包容性数字健康特别专栏:关于解决偏见、公平和扫盲问题以加强卫生系统的著名论文。

Yearbook of medical informatics Pub Date : 2022-08-01 Epub Date: 2022-12-04 DOI:10.1055/s-0042-1742536
Brian E Dixon, John H Holmes
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引用次数: 0

摘要

目的总结 2021 年发表的关于解决医疗服务系统中的偏见、公平和扫盲问题的重要研究成果:我们使用 PubMed 和 Scopus 进行了广泛搜索,以确定 2021 年发表的同行评审文章,这些文章研究了信息学方法、途径和工具如何解决医疗系统和医疗服务流程中的偏差、公平和素养问题。遴选过程包括三个步骤:(1)首先由两位栏目编辑选出 15 篇候选最佳论文;(2)来自国际知名研究团队的外部评审员对每篇候选最佳论文进行评审;(3)《年鉴》编辑委员会最终选出 3 篇最佳论文:入选的最佳论文代表了生物医学信息学在公平方面所面临的重大挑战,以及在卫生信息系统设计中支持公平和扫盲的实践。入选论文代表了本年度年鉴主题的方方面面。一般来说,搜索到的论文属于以下类别之一:(1) 医学软件或机器学习方法中算法偏差的描述性说明;(2) 使医疗信息系统能够对性别认同和性别进行适当编码;(3) 支持与信息系统和移动应用程序交互的个人进行健康扫盲的方法;(4) 让不同人群参与使用医疗信息系统和生物医学信息学人才队伍的方法 结论:......:尽管所选论文值得关注,但我们作为生物医学信息学界为解决公平、扫盲和偏见问题所做的集体努力仍处于起步阶段。我们还需要做更多的工作,以确保医疗信息系统公正地使用先进的计算方法,确保所有人都能平等地获得医疗保健和信息学工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Special Section on Inclusive Digital Health: Notable Papers on Addressing Bias, Equity, and Literacy to Strengthen Health Systems.

Objective: To summarize significant research contributions on addressing bias, equity, and literacy in health delivery systems published in 2021.

Methods: An extensive search using PubMed and Scopus was conducted to identify peer-reviewed articles published in 2021 that examined ways that informatics methods, approaches, and tools could address bias, equity, and literacy in health systems and care delivery processes. The selection process comprised three steps: (1) 15 candidate best papers were first selected by the two section editors; (2) external reviewers from internationally renowned research teams reviewed each candidate best paper; and (3) the final selection of three best papers was conducted by the editorial committee of the Yearbook.

Results: Selected best papers represent studies that characterized significant challenges facing biomedical informatics with respect to equity and practices that support equity and literacy in the design of health information systems. Selected papers represent the full spectrum of this year's yearbook theme. In general, papers identified in the search fell into one of the following categories: (1) descriptive accounts of algorithmic bias in medical software or machine learning approaches; (2) enabling health information systems to appropriately encode for gender identity and sex; (3) approaches to support health literacy among individuals who interact with information systems and mobile applications; and (4) approaches to engage diverse populations in the use of health information systems and the biomedical informatics workforce CONCLUSIONS: : Although the selected papers are notable, our collective efforts as a biomedical informatics community to address equity, literacy, and bias remain nascent. More work is needed to ensure health information systems are just in their use of advanced computing approaches and all persons have equal access to health care and informatics tools.

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来源期刊
Yearbook of medical informatics
Yearbook of medical informatics Medicine-Medicine (all)
CiteScore
4.10
自引率
0.00%
发文量
20
期刊介绍: Published by the International Medical Informatics Association, this annual publication includes the best papers in medical informatics from around the world.
期刊最新文献
Reflections Towards the Future of Medical Informatics. The Impact of Clinical Decision Support on Health Disparities and the Digital Divide. Health Information Exchange: Understanding the Policy Landscape and Future of Data Interoperability. The Need for Green and Responsible Medical Informatics and Digital Health: Looking Forward with One Digital Health. Health Equity in Clinical Research Informatics.
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