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An Exploratory Study Demonstrating the Health Information Management Profession as a STEM Discipline.

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Health Information Management (HIM) aligns with Science, Technology, Engineering, and Math (STEM) education. HIM professionals

Keywords:
HIM professionalsSTEM (science, technology, engineering, mathematics)curricular competencyhealth information management (HIM)

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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.