Integrating Artificial Intelligence Into Health Informatics and Information Education: A Competency-Based Framework Using Miller’s Pyramid

Abstract

The integration of artificial intelligence (AI) into health informatics and information management (HIIM) education presents both transformative opportunities and ethical complexities. As health care systems increasingly adopt AI-enabled tools and workflows, educational programs must prepare students to not only understand AI technologies but also apply them responsibly and effectively. In this article, the authors propose a competency-based framework for embedding AI into HIIM curricula, using Miller's Pyramid of Clinical Competence to scaffold progressive learning outcomes. With this developmental model, educators guide students from foundational knowledge to applied reasoning, simulation-based practice, and real-world performance using AI tools. The model can be used to foster problem-solving abilities and support workforce readiness by aligning AI-enhanced assignments with core HIIM domains. Ethical considerations are embedded throughout the learning process to promote the responsible and equitable use of AI. By offering flexible guidance for integrating AI into diverse educational settings, the competency-based framework enables instructors to design competency-aligned learning experiences that foster technical proficiency, ethical awareness, and professional confidence in today's AI-driven health care environment.

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