Abstract

This study aims to investigate the competency areas and skill sets demanded on the job market for health information management (HIM), which plays a vital role in sustaining and enhancing the quality and efficacy of health services. In accordance with this objective, a semantic content analysis was performed on online HIM job postings using a quantitative method based on text mining and probabilistic topic modeling to identify the expertise roles and skill sets as semantic topics. Our findings revealed ten expertise roles and twenty-four skills that represent a broad spectrum of HIM professions’ competency requirements. “Specialist” (17.57%), “Director” (17.05%), “Manager” (13.18%), “Coder” (12.40%), and “Technician” (11.11%) are the top five expertise roles for HIM. A competency taxonomy was developed for HIM professions based on the knowledge and skills revealed by 24 topics using topic modeling analysis. The HIM competencies were categorized as “Medical Knowledge” (39.92%), “Management Skills” (29.80%), “IT Skills” (16.09%), and “Soft Skills” (14.18%). Our findings may have significant implications for HIM candidates and professionals, healthcare industries, and academic institutions in their efforts to comprehend, evaluate, and develop the necessary competencies and skills for HIM careers.

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