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AI in HPE

An open-source, open-access resource on generative AI in health professions education.

Automation in health professions education

The relationship between automated systems and learning in health professions education warrants careful consideration, particularly regarding the ethical implications for both educators and learners.

Understanding automation in education

When discussing automation in health professions education, it’s important to distinguish between automating teaching processes and automating learning itself. While certain teaching tasks can be automated, learning remains an inherently human process of knowledge construction and skill development.

Key aspects of educational automation

Accessibility and scale

Personalisation

Cost implications

Addressing common concerns

Professional implications

The role of educators in health professions education continues to evolve. While automation may change certain aspects of teaching, the need for human expertise, guidance, and mentorship remains crucial. The shift is likely to be gradual, allowing for thoughtful adaptation of professional roles.

Social dimensions of learning

The social aspects of health professions education extend beyond simple content delivery. While automation can support individual learning, the development of professional identity, clinical reasoning, and interpersonal skills requires meaningful human interaction. The challenge lies in finding the right balance between automated systems and social learning experiences.

Moving forward

The future of health professions education likely involves a blended approach where automation enhances rather than replaces human-led teaching. This requires:

As we continue to develop and implement automated educational systems, the focus should remain on how these tools can best serve learners while supporting educators in their essential role of facilitating professional development.


Additional resources