Assessing the Prevalence of Ahima-Identified Health Informatics and Information Management Careers and Related Skills: A Cross-Sectional Study.

Charisse R Madlock-Brown, Marcia Y Sharp, Rebecca B Reynolds
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Abstract

This study's objective was to identify the prevalence of the American Health Information Management Association (AHIMA) career map jobs and determine which job categories, degrees, and skills are associated with higher pay. We extracted data from SimplyHired, a major employment website, from December 2018 to December 2019. We retrieved 12,688 career posts. We found differences in average salary by career category (p-value 0.00). Most jobs were in coding and revenue cycle (CRC) and information governance (IG) categories. The highest average salaries were in data analytics (DA) and informatics (IN). Each career category had a unique set of skills associated with the highest paying jobs. Eighty-two percent of CRC, 67 percent of IG, 65 percent of IN, and 83 percent of DA jobs listed in the AHIMA career map were present in the extracted dataset. These results can help employees, academics, and industry leaders understand the health informatics and information management (HIM) workforce landscape.

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评估ahima识别的健康信息学和信息管理职业及相关技能的流行:一项横断面研究。
本研究的目的是确定美国健康信息管理协会(AHIMA)职业地图工作的流行程度,并确定哪些工作类别、学位和技能与高薪相关。我们从大型招聘网站SimplyHired提取了2018年12月至2019年12月的数据。我们检索了12688个招聘职位。我们发现不同职业类别的平均工资存在差异(p值为0.00)。大多数工作属于编码和收入周期(CRC)和信息治理(IG)类别。平均工资最高的是数据分析(DA)和信息学(in)。每个职业类别都有一套与高薪工作相关的独特技能。AHIMA职业地图中列出的82%的CRC、67%的IG、65%的IN和83%的DA工作都出现在提取的数据集中。这些结果可以帮助员工、学者和行业领导者了解健康信息学和信息管理(HIM)的劳动力状况。
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来源期刊
CiteScore
1.90
自引率
0.00%
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0
期刊介绍: Perspectives in Health Information Management is a scholarly, peer-reviewed research journal whose mission is to advance health information management practice and to encourage interdisciplinary collaboration between HIM professionals and others in disciplines supporting the advancement of the management of health information. The primary focus is to promote the linkage of practice, education, and research and to provide contributions to the understanding or improvement of health information management processes and outcomes.
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