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Developing a Postgraduate Program for AI in Medicine with Kern’s Six-Step Curriculum Development Approach in Singapore

AAAI 2025 · Large language models › AI and society · approach: Teacher needs and AI curricula · 1 citations (OpenAlex)

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Describes the design of a year-long postgraduate AI in Medicine program in Singapore using Kern's six-step curriculum approach with a four-session stakeholder co-design process, evaluated qualitatively by industry experts and an academic committee.

Problem

AI training is largely missing from medical curricula and lacks standardization, and little work has applied structured curriculum-development methods to AI in medicine for working healthcare professionals.

Approach

Applies Kern's six-step curriculum development approach, implemented through four co-design sessions with hospital administrators, university instructors, healthcare professionals, industry experts and a medical school committee, to design a PBL-based, blended-learning postgraduate AI in Medicine program with three courses.

Key results

• Industry expert survey: all respondents rated course scope and objectives as 'Very appropriate' or 'More than appropriate'; 80% said the outline exceeded degree standards and 20% said it met average standard.
• Two coders reached Cohen's Kappa of 0.83 on content analysis of stakeholder open-ended responses.
• Program is structured into three courses, seven modules, each 6-8 weeks, over one academic year, with implementation planned for 2025.

Surprising findings

• Some industry reviewers noted similar existing online courses, such as Stanford's Fundamentals of Machine Learning for Healthcare, requiring the program to stress its local and in-class features.

Limitations

• The program had not yet been delivered, so real-world effectiveness is unassessed; evaluation relies only on expert and committee feedback.
• Focus on postgraduate education may limit applicability to undergraduate training.
• Rapidly evolving AI content requires continuous curriculum updating.

Experimental setup

Datasets: stakeholder online surveys (hospital administrators, university instructors, healthcare professionals, industry experts)

Metrics: survey response proportions content analysis coding agreement (Cohen's Kappa 0.83)

Builds on: Kern's six-step approach Research-Practice Partnerships Bloom's taxonomy

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