Gender representation in U.S. biomedical informatics leadership and recognition

Author:

Griffin Ashley C1ORCID,Leung Tiffany I2ORCID,Tenenbaum Jessica D3,Chung Arlene E1456

Affiliation:

1. Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

2. Faculty of Health, Medicine, and Life Sciences, Maastricht University, Maastricht, the Netherlands

3. Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA

4. Division of General Medicine and Clinical Epidemiology, Department of Medicine, UNC School of Medicine, Chapel Hill, North Carolina, USA

5. Division of General Pediatrics and Adolescent Medicine, Department of Pediatrics, UNC School of Medicine, Chapel Hill, North Carolina, USA

6. Program on Health and Clinical Informatics, UNC School of Medicine, Chapel Hill, North Carolina, USA

Abstract

Abstract Objective This study sought to describe gender representation in leadership and recognition within the U.S. biomedical informatics community. Materials and Methods Data were collected from public websites or provided by American Medical Informatics Association (AMIA) personnel from 2017 to 2019, including gender of membership, directors of academic informatics programs, clinical informatics subspecialty fellowships, AMIA leadership (2014-2019), and AMIA awardees (1993-2019). Differences in gender proportions were calculated using chi-square tests. Results Men were more often in leadership positions and award recipients (P < .01). Men led 74.7% (n = 71 of 95) of academic informatics programs and 83.3% (n = 35 of 42) of clinical informatics fellowships. Within AMIA, men held 56.8% (n = 1086 of 1913) of leadership roles and received 64.1% (n = 59 of 92) of awards. Discussion As in other STEM fields, leadership and recognition in biomedical informatics is lower for women. Conclusions Quantifying gender inequity should inform data-driven strategies to foster diversity and inclusion. Standardized collection and surveillance of demographic data within biomedical informatics is necessary.

Funder

National Institutes of Health National Library of Medicine

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3