Suppr超能文献

健康信息学劳动力中的代际差异和性别差异。

Generational and Gender Differences in the Health Informatics Workforce.

作者信息

Butler-Henderson Kerryn, Arabi Salma, Gray Kathleen

机构信息

School of Nursing, Paramedicine, and Healthcare Sciences, Charles Sturt University.

Centre for Digital Transformation of Health, University of Melbourne.

出版信息

Stud Health Technol Inform. 2025 Aug 7;329:1462-1466. doi: 10.3233/SHTI251081.

Abstract

INTRODUCTION

The health informatics workforce integrates skills in science, technology, and data science to manage health data and support digital healthcare. Despite its growing importance, little is known about the generational and gender differences within this workforce.

METHODS

The study analyzes data from the 2023 Specialist Digital Health Workforce Census, conducted online in July-August 2023. Ethical approval was obtained, and informed consent was collected. Descriptive statistics and Chi-Square Test for Independence were used to analyze the data.

RESULTS

Out of 349 responses, 345 were included in the analysis. The majority of respondents identified as female (59.4%) and were predominantly in the 40-49 and 50-59 age groups. The occupational groups included health information technology (46.7%) and health informatics (38.6%). Significant correlations were found between occupational group, age, and gender, and various other attributes, such as qualification, registered professional, years of experience, and remuneration level.

DISCUSSION

The analysis highlights the importance of understanding demographic characteristics to inform workforce planning. The findings align with previous research on the significance of formal education in health informatics. The study also identifies potential disparities in pay based on occupational group, age, and gender, emphasizing the need for equity and inclusivity in the field.

摘要

引言

健康信息学领域的劳动力融合了科学、技术和数据科学方面的技能,以管理健康数据并支持数字医疗保健。尽管其重要性日益凸显,但对于该领域劳动力的代际和性别差异却知之甚少。

方法

该研究分析了2023年7月至8月在线进行的2023年专业数字健康劳动力普查的数据。已获得伦理批准并收集了知情同意书。使用描述性统计和独立性卡方检验来分析数据。

结果

在349份回复中,345份被纳入分析。大多数受访者为女性(59.4%),主要集中在40 - 49岁和50 - 59岁年龄组。职业群体包括健康信息技术(46.7%)和健康信息学(38.6%)。在职业群体、年龄、性别以及其他各种属性(如资格、注册专业、工作年限和薪酬水平)之间发现了显著相关性。

讨论

该分析强调了了解人口特征对于劳动力规划的重要性。研究结果与先前关于健康信息学中正规教育重要性的研究一致。该研究还确定了基于职业群体、年龄和性别的潜在薪酬差距,强调了该领域公平和包容的必要性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验