通过可计算生物医学知识(CBK)促进健康公平:向图书馆、信息科学和健康信息学界发出的行动呼吁

IF 2.9 4区 医学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Nancy Allee, Gerald Perry, Gabriel Rios, Joshua Rubin, Vignesh Subbian, Deborah E. Swain, Terrie Wheeler
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引用次数: 0

摘要

COVID-19 和结构性种族主义的双重流行使人们开始关注健康差异和疾病对有色人种社区的过度影响。 随后,健康公平成为一个优先事项。 作者认识到,未来的医疗保健将由包括人工智能(AI)、机器学习和算法应用在内的先进信息技术提供信息,因此认为,为了向改善健康公平的状态迈进,健康信息专业人员需要参与并鼓励在健康公平、健康差异和计算生物医学知识(CBK)应用的交叉点开展研究。文中提出了参与这一动员工作的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobilizing health equity through Computable Biomedical Knowledge (CBK): a call to action to the library, information sciences, and health informatics communities
The twin pandemics of COVID-19 and structural racism brought into focus health disparities and disproportionate impacts of disease on communities of color.  Health equity has subsequently emerged as a priority.  Recognizing that the future of health care will be informed by advanced information technologies including artificial intelligence (AI), machine learning, and algorithmic applications, the authors argue that to advance towards states of improved health equity, health information professionals need to engage in and encourage the conduct of research at the intersections of health equity, health disparities, and computational biomedical knowledge (CBK) applications. Recommendations are provided with a means to engage in this mobilization effort.
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来源期刊
Journal of the Medical Library Association
Journal of the Medical Library Association INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.10
自引率
10.00%
发文量
39
审稿时长
26 weeks
期刊介绍: The Journal of the Medical Library Association (JMLA) is an international, peer-reviewed journal published quarterly that aims to advance the practice and research knowledgebase of health sciences librarianship. The most current impact factor for the JMLA (from the 2007 edition of Journal Citation Reports) is 1.392.
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