Basics of AI in Health Professions Education: AI for All
Workshop Description
This workshop will cover the basic ideas, principles and practices of AI in Health Professions
Education (HPE). There will be short faculty presentations, and opportunities for both interactive
discussions, demonstrations and exploration using AI in HPE. We will start by exploring basic ideas and principles at a working level, to build a foundation for further discussion and exploration. We will then explore how and where AI is embedded in how we practice and the tools and platforms we use, including when we do online search, take advantage of autocomplete and chatbot options, AI tools and extensions within work productivity software, and standalone AI platforms and mobile Apps. The aim of this workshop is to build AI literacy, practise common applications such as developing NBME-style questions, structured clinical case based teaching outlines, AI facilitated short teaching video production, or even write fun class summary poems to elevate the mood on a difficult subject. Further goals include developing a deeper appreciation of the potential and pitfalls of using AI, exploring pedagogy, policies as well as research and scholarship avenues using AI in HPE. At the end of this workshop, participants will have a foundation to actively participate in discussions using AI in HPE, as well as foundational knowledge to actively explore and use AI in HPE.
-To review the basic ideas, principles and practices of AI in Health Professions Education (HPE).
-To build AI literacy, practise common applications
-To build a a foundation to actively participate in discussions using AI in HPE, as well as
foundational knowledge to actively explore and use AI in HPE.
Who Should Attend
Health professions educators who are interested in reviewing the basic ideas, principles and
practices of AI in Health Professions Education (HPE); building AI literacy, practising common
applications, building a foundation to actively participate in discussions using AI in HPE, as well as foundational knowledge to actively explore and use AI in HPE.
Lopez, M., Goh, PS. (2024). Catering for the Needs of Diverse Patient Populations: Using ChatGPT to Design Case-Based Learning Scenarios. Med.Sci.Educ. Published online 13 January 2024. https://doi.org/10.1007/s40670-024-01975-4
“Artificial intelligence and machine learning, and instructors in their role as trainers and coaches, give feedback and provide dynamic, personalised customisation of learning content and training experiences.”
- including idea that we are already using AI whenever we do an online search, use common software and mobile Apps, and interact with our mobile and computing devices
What is available, how to use AI, examples
- how can we use embedded AI intentionally?
- how can we best blend use of technology, including AI, with learning science, instructional design and sound pedagogy?
Can Chat GPT and Bard provide references for its answers?
"explaining and justifying answers with evidence and literature as indicator of learning"
--
"What is Learning?
How can we promote, encourage and support deep learning rather than superficial surface learning?
How can we, as educators, instructors, guides and coaches facilitate the learning process?
How can we best use AI to support, and facilitate learning? For example by requiring learners to demonstrate understanding, by explaining, justifying and supporting their answers; including providing evidence, literature, theory and logical arguments and explanations."
Poh-Sun Goh, 28 November 2023 @ 0923am, Singapore Time
"One of the key differences between Google Bard and ChatGPT is their access to the internet. Google Bard has real-time access to the internet, which means that it can access the latest information and keep its responses up-to-date. ChatGPT, on the other hand, does not have real-time access to the internet." - https://www.simform.com/blog/google-bard-vs-chatgpt/
Using Chat GPT 3.5, and three prompts,
- Develop clinical case to manage breathless patient
- With suspected COVID-19 (follow up prompt)
- Develop clinical skills training simulation to manage patient with suspected pneumothorax
Selected transcript from TED talk above: Machine Learning, AI, and the Future of Education | Marc Natanagara | TEDxBrookdaleCommunityCollege - https://www.youtube.com/watch?v=gjDPtzJQnyM&t=2s (accessed 31 December 2023)
Develop clinical skills training simulation to manage patient with suspected pneumothorax
Response below:
To develop a clinical skills training simulation to manage a patient with suspected pneumothorax, you can consider the following steps:
1. Identify the learning objectives: Determine the key concepts and skills that you want the simulation to teach. For example, you may want to focus on identifying the signs and symptoms of pneumothorax, performing a chest examination, and interpreting chest X-rays.
2. Design the simulation: Create a scenario that simulates a patient with suspected pneumothorax. This could include designing a manikin or using a virtual patient simulator. Ensure that the scenario is realistic and includes all the necessary equipment and supplies.
3. Develop the curriculum: Create a curriculum that outlines the learning objectives, simulation scenario, and assessment tools. This should include a detailed description of the simulation scenario, the expected outcomes, and the assessment criteria.
4. Conduct the simulation: Run the simulation with the participants. Ensure that the simulation is conducted in a safe and controlled environment. Provide feedback to the participants and encourage them to reflect on their performance.
5. Evaluate the simulation: Evaluate the effectiveness of the simulation in achieving the learning objectives. This could include assessing the participants’ knowledge, skills, and confidence before and after the simulation.
For more information on nursing care management for patients with pneumothorax, you can refer to the following resource 1:
* Pneumothorax Nursing Care and Management: Study Guide 1
I hope this helps! Let me know if you have any other question
"One of the key takeaways from our workshop is to recommend our participants build experience on one core platform, app or AI tool e.g. chat GPT or Bard; whilst also being open to newer options." - Poh-Sun
(31 December 2023)
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