https://medicine.nus.edu.sg/cenmed/sites/apmec2026/program_details.html#W2P5
W2P5
Thursday 22nd January 2026, 1.30pm – 5.00pm
STRATEGIES FOR DEVELOPING OPEN EDUCATION RESOURCES (OER) WITH AI IN HEALTH PROFESSIONS EDUCATION
1Tao Le and 2Goh Poh-Sun
1United States of America and 2Singapore
Workshop Description
Historically, high-quality health professions education has been expensive to develop and limited to major commercial or academic publishers. New digital platforms have accelerated the development of open education resources (OER), which have evolved to address critical cost and accessibility issues in education globally. Emerging artificial intelligence (AI) tools, in particular, offer unprecedented opportunities to streamline content creation, personalised learning, and automate resource curation, further expanding equitable access to quality educational materials. Finally, novel shared curricular ecosystem platforms can standardise and facilitate the management of OER, empowering a global community of medical educators to share, collaborate and go further together. This hands-on, interactive workshop builds on last year's successful session at APMEC 2025 and will provide participants with an introductory overview to OER with AI. Participants will be able to explore best practices for leveraging OER in existing curricular development processes. The facilitators will then discuss and demonstrate a variety of free, low-cost and AI-enabled tools for the development, management and sharing of OER. In small-group breakouts, participants will have an opportunity to experiment with selected tools to develop OER, exploring how AI can be used for content generation, translation or personalised learning pathways. Finally, potential pitfalls such as quality, critical appraisal, and copyright issues will be addressed, with a focus on responsible use of AI tools in the creation and dissemination of educational resources.
Workshop Objective
Upon completing this workshop, participants will be able to:
Explain the history, goals, and impacts of OER
Describe best practices for the development and implementation of OER
Identify and use free or low-cost tools, including AI-based solutions, to develop, manage and share OER
Explore AI's potential in accelerating content creation, improving translation and customising learner experiences
Discuss considerations for quality assurance, critical appraisal and copyright compliance, particularly in the context of responsible AI
Who Should Attend
Health professional education leaders, educators, learning designers in medical, nursing and allied health fields who are interested in sharing and collaborating with others, especially in low resource settings.
https://medicaleducationelearning.blogspot.com/2025/01/strategies-for-developing-open.html
https://medicaleducationelearning.blogspot.com/2025/11/dynamic-duo-how-open-education-and.html
CopilotCreating Open Educational Resources (OER) for medical education using AI tools is a powerful way to make learning more accessible, interactive, and personalized. Here’s a structured approach you can follow:
✅ 1. Define Your Educational Goals
Identify the topic (e.g., anatomy, pharmacology, clinical reasoning).
Decide on the format: text-based modules, videos, interactive quizzes, case studies.
Ensure alignment with curriculum standards and learning outcomes.
✅ 2. Use AI for Content Creation
Text Generation:
Tools like ChatGPT or Copilot can draft explanations, summaries, and case scenarios.
Example: Generate concise explanations of complex topics (e.g., “Explain the pathophysiology of diabetes in simple terms”).
Question Banks & Assessments:
AI can create MCQs, short-answer questions, and clinical vignettes.
Include rationale for answers to enhance learning.
Language Simplification:
Use AI to adapt content for different learner levels (undergraduate vs postgraduate).
✅ 3. Visual & Multimedia Resources
AI Image Generation:
Create diagrams, anatomical illustrations, or flowcharts using tools like DALL·E or Copilot’s image generation.
Video & Audio:
AI-powered tools (e.g., Synthesia, Pictory) can turn text into narrated videos.
Interactive Simulations:
Platforms like Labster or custom-built AI simulations for clinical decision-making.
✅ 4. Personalization & Adaptivity
Use AI-driven adaptive learning platforms to tailor content based on learner performance.
Example: If a student struggles with ECG interpretation, the system suggests extra cases and tutorials.
✅ 5. Ensure Openness & Licensing
Publish under Creative Commons licenses (e.g., CC BY or CC BY-SA).
Host on platforms like OER Commons, MedEdPORTAL, or institutional repositories.
✅ 6. Quality Assurance
Validate AI-generated content with subject matter experts.
Use evidence-based guidelines and peer review to maintain accuracy.
✅ 7. Accessibility & Inclusivity
AI can generate alt text for images, transcripts for videos, and multilingual translations.
Ensure compliance with WCAG accessibility standards.
✅ 8. Suggested AI Tools
Content: ChatGPT, Copilot, Claude
Images: DALL·E, MidJourney
Video: Synthesia, Pictory
Assessment: Quizgecko, QuestionPro
Hosting: OER Commons, GitHub Pages
CopilotHere’s a refined, example-rich guide for creating Open Educational Resources (OER) in medical education using AI tools, accompanied by references to authoritative sources and tools:
🎯 1. Drawing from Established Initiatives
SAEM AI Medical Education Resources curates definitions, LLM usages, teaching examples (like chatbots and case-based learning), with expert-reviewed links for enhancements. [saem.org]
https://www.saem.org/education/saem-online-academic-resources/ai-med-ed-resources
AAMC’s Advancing AI collection includes practical guides, ethical frameworks, and AI competencies tailored to medical educators. [aamc.org]
AMA ChangeMedEd® AI in Health Care offers a seven-part module on AI fundamentals, legal/ethical considerations, diagnostics, and a guide for implementing AI and learning analytics in curricula. [ama-assn.org], [jccpractice.com]
https://www.ama-assn.org/education/changemeded-initiative/ai-medical-education
2. 📝 AI-Generated Text Content & Quizzes
Quiz Med AI: Transforms lecture notes/slides into MCQs, flashcards, and diagram-based questions, with feedback mechanism—used by students at Stanford, Johns Hopkins.
Example: Upload pathology slides and receive diagram-based labeling quizzes. [quizmedai.com]
MedQuizAI: Upload PDFs to generate quizzes, summaries, mind maps, and performance analytics. [medquizai.com]
Geeky Medics: Converts medical notes into MCQs with answer explanations via upload to PDF/text. [geekymedics.com]
https://geekymedics.com/turn-medical-notes-into-mcqs-using-ai/
3. 🎨 AI-Generated Diagrams & Illustrations
Specialized models such as FLUX1.1 Pro Ultra, FLUX1.1 Kontext Pro offer high-resolution, anatomically accurate diagrams up to 4 MP for educational materials. [siliconflow.com]
https://www.siliconflow.com/articles/en/best-models-for-medical-image-generation
P20V AI Medical Diagram Generator: Upload text or images to create labeled anatomical charts, organ system diagrams, pathology flowsheets—downloadable in high resolution. [p20v.com]
https://p20v.com/tools/healthcare-ai-medical-diagrams
Midjourney in Healthcare: Used with medical illustration prompts (e.g., “photorealistic circulatory system in Frank Netter style”) to create visual aids for lectures or patient education. [healthcare...vation.com]
https://healthcare.boardofinnovation.com/midjourney/
Med‑Art (Diffusion Transformer): Research-grade tool generating medical images from concise text prompts—ideal for deeper AI experimentation. [medart-ai.github.io]
4. 🧠 Adaptive Learning & Personalization
Research shows AI-driven platforms can dynamically adjust content based on learner performance, strengths, and weaknesses—in real time—enhancing clinical reasoning and retention. [ijirmps.org], [mdpi.com], [tandfonline.com]
https://www.ijirmps.org/papers/2024/3/232117.pdf
https://www.mdpi.com/2673-2688/6/12/322
MedQuizAI and Quiz Med AI also provide adaptive quizzing and analytics to fine-tune learner focus based on quiz results. [medquizai.com], [quizmedai.com]
5. 💾 Building & Publishing OER Modules
Workflow Example (Anatomy Module):
Content Drafting: Use ChatGPT to explain anatomical concepts.
Quiz Generation: Upload text or slides to Quiz Med AI to generate MCQs and flashcards.
Diagram Creation: Generate visuals with P20V or Midjourney.
Integration & Interactivity: Embed quizzes and visuals into LMS or web pages via platforms like OER Commons or institutional repositories.
Personalization Layer: Use adaptive analytics tools from MedQuizAI or others to tailor learning pathways.
Peer Review & Licensing: Have content reviewed by educators, publish under a CC BY or CC BY-SA license.
📚 References & Further Reading
SAEM AI Resources: Overview of tools, ethics, high‑yield use cases [saem.org]
AAMC AI “Advancing AI” Collection: Practical guides on AI curricula development [aamc.org]
AMA ChangeMedEd® Modules: Free courses on AI’s roles, responsibilities, and integration strategies [ama-assn.org], [jccpractice.com]
Narrative Reviews & Research: Evidence of AI’s effectiveness in personalization, simulation, and adaptive learning [mdpi.com], [tandfonline.com]
✅ Summary
Text & Quiz: Quiz Med AI, MedQuizAI, Geeky Medics
Diagrams & Visuals: P20V, Midjourney, FLUX1.1, Med-Art
Adaptive Learning: Platforms with real-time analytics and personalized learning paths
OER Publishing: Use CC licenses; host via OER Commons, institutional repositories
CopilotHere’s a complete example of an OER module for medical education using AI tools:
OER Module: ECG Interpretation Basics
Learning Objectives
Understand the normal ECG waveform.
Identify common abnormalities (e.g., atrial fibrillation, ST elevation).
Apply interpretation steps in clinical scenarios.
Step 1: AI-Generated Core Content
Topic Summary (via ChatGPT/Copilot):
An electrocardiogram (ECG) records the electrical activity of the heart. Key components include P wave (atrial depolarization), QRS complex (ventricular depolarization), and T wave (ventricular repolarization). Normal intervals: PR (120–200 ms), QRS (<120 ms), QT (variable).
Step 2: AI-Generated Visuals
Use P20V or Midjourney to create:
Normal ECG diagram with labeled waves.
Pathological examples (e.g., atrial fibrillation, STEMI).
(If you’d like, I can generate a sample ECG diagram for you right now.)
Step 3: AI-Generated Quiz Questions
Using Quiz Med AI:
MCQ Example:
Which ECG feature indicates atrial fibrillation?
A. Regular P waves
B. Irregularly irregular rhythm
C. ST elevation
D. Prolonged QT
Answer: B. Irregularly irregular rhythm.
Case-Based Question:
A 65-year-old male presents with chest pain. ECG shows ST elevation in leads II, III, and aVF. What is the likely diagnosis?
Answer: Inferior wall myocardial infarction.
Step 4: Interactive Component
Upload content to MedQuizAI for adaptive quizzing.
Add mind maps summarizing interpretation steps.
Step 5: Publishing
Compile text, diagrams, and quizzes into a PDF or HTML module.
License under CC BY-SA.
Host on OER Commons or institutional LMS.
References
SAEM AI Medical Education Resources
AAMC Advancing AI in Medical Education
AMA ChangeMedEd® AI in Health Care Modules
Quiz Med AI, MedQuizAI, Geeky Medics for assessments
P20V, Midjourney for diagrams
Diagram of module generated by Microsoft Copilot (below)
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CopilotHere’s a structured plan for your pre-conference workshop on
“Strategies for Developing Open Education Resources (OER) with AI in Health Professions Education”, including references:
✅ Workshop Title
Strategies for Developing OER with AI in Health Professions Education
1. Workshop Objectives
Understand the role of AI in OER development for health professions education.
Explore practical strategies for creating high-quality, accessible, and ethical OER using AI.
Identify best practices and ethical considerations in AI-enabled OER.
Develop an action plan for integrating AI tools into OER workflows.
2. Target Audience
Health professions educators
Instructional designers
Curriculum developers
Academic leaders
3. Workshop Structure (3–4 hours)
Part 1: Introduction (30 min)
What is OER? Principles and benefits in health education.
Why AI? Opportunities for scalability, personalization, and efficiency.
Reference:
Hersh, W. (2025). Generative AI: Implications for Biomedical and Health Professions Education. Annual Review of Biomedical Data Science. [arxiv.org]
https://arxiv.org/pdf/2501.10186
Ahsan, Z. (2025). Integrating AI into Medical Education: Current Applications and Challenges. BMC Medical Education. [bmcmededuc...entral.com]
https://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-025-07744-0
Part 2: AI Applications in OER Development (60 min)
Content Generation: Using LLMs for creating modular learning units.
Personalization: Adaptive learning paths for diverse learners.
Translation & Accessibility: AI for multilingual and inclusive OER.
Quality Assurance: AI-assisted peer review and plagiarism checks.
Reference:
Thompson, R. A. M. et al. (2025). AI Use in Medical Education: Best Practices and Future Directions. Current Urology Reports. [link.springer.com]
https://link.springer.com/article/10.1007/s11934-025-01277-1
Pham, T. D. et al. (2025). Impact of Generative AI on Health Professional Education. Medical Education. [asmepublic....wiley.com]
https://asmepublications.onlinelibrary.wiley.com/doi/pdf/10.1111/medu.15746
Part 3: Ethical and Practical Considerations (45 min)
Bias and Accuracy: Ensuring reliability of AI-generated content.
Copyright & Licensing: Aligning AI outputs with Creative Commons.
Data Privacy: Protecting learner and patient information.
AI Literacy for Educators: Training faculty for responsible use.
Reference:
AMA (2025). Advancing AI in Medical Education through Ethics, Evidence and Equity. [ama-assn.org]
AAMC (2025). Principles for Responsible AI Use in Medical Education. [aamc.org]
https://www.aamc.org/about-us/mission-areas/medical-education/principles-ai-use
Part 4: Hands-On Activity (60 min)
Demo: Using AI tools (e.g., ChatGPT, Claude, or domain-specific AI) to create an OER module.
Group Work: Participants design a short OER resource using AI.
Peer Review: Evaluate outputs for quality and ethics.
Part 5: Action Planning & Discussion (30 min)
Develop institutional strategies for AI-enabled OER.
Share resources and repositories for collaboration.
4. Key Strategies
Start Small: Pilot AI for micro-content before scaling.
Collaborate: Share AI-generated OER in open repositories.
Validate Outputs: Combine AI with expert review.
Embed AI Literacy: Train educators and students on responsible AI use.
Reference:
Khamis, N., & Ungaretti, T. (2025). Faculty Development for AI Integration in Health Professions Education. Medical Science Educator. [link.springer.com]
https://link.springer.com/article/10.1007/s40670-025-02573-8
Sahu, P. K. et al. (2024). ChatGPT in Research and Health Professions Education: Challenges and Opportunities. Postgraduate Medical Journal. [academic.oup.com]
https://academic.oup.com/pmj/article/100/1179/50/7304050
5. Suggested Readings & Resources
Comprehensive Educators Guide for AI in Health Professions Education [uab.edu]
Stanford Medicine AI in Medical Education Resources [med.stanford.edu]
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