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Integrating Generative AI in Health Education: A Scoping Review and Implementation Framework
Kellie Toohey1,2, Zach Quince3, Felicity Walker1
1Faculty of Health, Southern Cross University, Lismore, QLD Australia.
Medical Science Educator
|March 9, 2026
Summary
Generative AI (GenAI) offers benefits and challenges in higher education. This study proposes a framework to integrate GenAI responsibly, focusing on literacy, educator skills, and assessment design for health professions.
Area of Science:
- Health Professions Education
- Artificial Intelligence in Education
- Curriculum Development
Background:
- Generative AI (GenAI) presents significant opportunities and challenges for higher education, particularly in health professions.
- While GenAI can personalize learning and improve educator processes, concerns regarding academic integrity and output accuracy necessitate careful navigation.
- Health professionals must ensure technology augments, rather than compromises, the development of core clinical and professional competencies.
Purpose of the Study:
- To develop a framework for the effective and responsible implementation of Generative AI (GenAI) into health professions education curricula.
- To synthesize existing evidence on the applications, benefits, and challenges associated with GenAI in this educational context.
Main Methods:
- A systematic scoping review was conducted following the Joanna Briggs Institute (JBI) methodology.
- The review utilized PRISMA-ScR guidelines, with a comprehensive search across multiple databases (MEDLINE, CINAHL, Scopus, Web of Science, ERIC).
- A narrative synthesis mapped literature themes to inform framework development.
Main Results:
- The review included 21 studies, indicating GenAI use by educators and students for productivity and learning enhancement.
- Key challenges identified include the generation of inaccurate content, potential for misuse, and the critical need for GenAI literacy among students and staff.
- Findings were synthesized into three primary domains: educator use, student use, and assessment design and purpose.
Conclusions:
- Integrating GenAI into health education demands a structured and proactive approach.
- An evidence-informed framework is proposed, centered on three pillars: Student GenAI Literacy, Educator Capability, and Assessment Design.
- This framework aims to guide institutions in responsibly harnessing GenAI to support critical thinking and professional judgment.
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