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An Exploratory Study Demonstrating the Health Information Management Profession as a STEM Discipline
Dilhari R DeAlmeida1, Shannon H Houser2, Victoria Wangia-Anderson3
1Department of Health Information Management at the University of Pittsburgh in Pittsburgh, PA.
Health Information Management (HIM) aligns with Science, Technology, Engineering, and Math (STEM) education. HIM professionals
Area of Science:
- Health Informatics
- Data Science
- Educational Policy
Background:
- Health Information Management (HIM) is crucial for managing healthcare data.
- The integration of HIM into STEM fields is not yet widely recognized.
- Existing HIM competencies offer a unique perspective on data management and analysis.
Purpose of the Study:
- To establish a strong case for incorporating Health Information Management (HIM) into Science, Technology, Engineering, and Math (STEM) educational curricula.
- To demonstrate the alignment between HIM competencies and core STEM disciplines.
- To analyze AHIMA membership data for evidence of overlap between HIM and STEM employment sectors.
Main Methods:
- A comprehensive review of the American Health Information Management Association (AHIMA) HIM competency domains.
- Analysis of HIM competency subdomains for alignment with STEM content areas (science, math, technology).
- Evaluation of AHIMA membership data to identify employment overlaps between HIM and STEM fields.
Main Results:
- HIM competency subdomains directly align with STEM disciplines, particularly in informatics, data analytics, and data utilization.
- Specific HIM competencies and tasks clearly map to content found in science, math, and technology.
- AHIMA membership data indicates that HIM professionals are frequently employed in roles and settings common to both HIM and STEM.
Conclusions:
- Health Information Management (HIM) possesses significant overlap with STEM disciplines.
- HIM should be formally recognized and integrated into STEM education to enhance workforce development.
- This integration can foster a more robust understanding of data science and informatics within healthcare.
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