Integrating Artificial Intelligence Into Health Informatics and Information Education: A Competency-Based Framework...

Area of Science:

• Health Informatics
• Educational Technology
• Artificial Intelligence

Background:

• The increasing adoption of AI in healthcare necessitates AI literacy in Health Informatics and Information Management (HIIM) professionals.
• Current HIIM curricula require updates to address the ethical complexities and practical applications of AI tools.
• Preparing the future healthcare workforce for AI integration is crucial for effective and responsible technology adoption.

Purpose of the Study:

• To propose a competency-based framework for integrating Artificial Intelligence (AI) into Health Informatics and Information Management (HIIM) curricula.
• To utilize Miller's Pyramid of Clinical Competence for scaffolding progressive AI learning outcomes.
• To foster problem-solving abilities and workforce readiness in AI-driven healthcare environments.

Main Methods:

• Development of a competency-based framework using Miller's Pyramid for progressive learning.
• Integration of AI concepts across foundational knowledge, applied reasoning, simulation, and real-world performance.
• Embedding ethical considerations throughout the AI learning process.
• Alignment of AI-enhanced assignments with core HIIM domains.

Main Results:

• The proposed framework facilitates a structured progression of AI competencies for HIIM students.
• Educators can guide students from understanding AI to performing with AI tools in simulated and real-world settings.
• The framework supports the development of technical proficiency, ethical awareness, and professional confidence.

Conclusions:

• A competency-based framework effectively integrates AI into HIIM education, addressing both technical skills and ethical considerations.
• This model prepares students for the AI-driven healthcare landscape, enhancing problem-solving and workforce readiness.
• The framework offers flexible guidance for diverse educational settings to cultivate AI-proficient and ethically-minded health informaticians.