ChatGPT in HPE
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The document provides an overview of ChatGPT's applications in healthcare professional education, emphasizing user understanding, ethical considerations, and the model's functionality. Participants will learn to utilize ChatGPT for teaching, collaborating, and creating educational content while recognizing its limitations and the importance of effective prompt engineering. Additionally, it discusses the integration of AI in personalized learning, assessments, and skill development, along with addressing ethical and privacy considerations in educational contexts.
ChatGPT in HPE
- 1. Vaikunthan Rajaratnam Introduction to ChatGPT in Health Professional Education
- 2. I am not an AI expert, nor do I possess coding knowledge specific to the underlying mechanisms of AI models; my expertise lies in the utilization of these models, such as ChatGPT, based on my extensive experience as a user within the fields of healthcare, medical education, and related research, rather than their technical development or underlying algorithms. Disclaimer
- 3. By the end of this lecture, participants will be able to: • Confidently use ChatGPT, recognizing its potential applications and limitations within healthcare education. • Analyse and evaluate how ChatGPT can be ethically leveraged to enhance teaching, learning, and collaboration, considering its impact on various stakeholders • Design and implement strategies for integrating ChatGPT into existing healthcare education practices
- 4. Understanding AI, Generative AI, and ChatGPT • AI (Artificial Intelligence) – refers to the simulation of human intelligence in machines that are programmed to think, learn, and make decisions – Applications: Includes machine learning, natural language processing, robotics, computer vision, etc. • Generative AI – subset of AI that focuses on creating new data instances that are similar to a set of training examples. – Techniques: Examples include Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), etc. • ChatGPT: – State-of-the-art language models developed by OpenAI. It utilizes the Transformer architecture to generate human-like text based on given prompts. – Usage: Widely used in natural language understanding tasks, chatbots, content creation, and more.
- 5. What is ChatGPT? • Understanding Language – Reads and comprehends human-written text. • Generating Text – Writes human-like text, from answers to creative content. • Conversation – Capable of engaging in text-based conversations with users. • Applications – Used in virtual assistants, education, content creation, and more. • Not a Human – Generates text through algorithms, without feelings or consciousness.
- 6. How Does ChatGPT Work? “Don’t cry ………..” “ Don’t cry over….” • Reading Text: • Takes in words, questions, or sentences as input. • Understands the language like a human reading a book. • Processing Information: • Breaks down the input into smaller parts to understand the meaning. • Uses a complex mathematical model to analyse the text. • Generating Response: • Constructs a response based on what it has "learned" from reading lots of text. • Tries to make the response sound like something a human would say. • No Personal Knowledge or Opinions: • Doesn't have thoughts, feelings, or personal experiences. • Answers are based on patterns in the data it was trained on, not personal beliefs or opinions. • Learning from Data: • Trained on a vast amount of text from books, websites, and other written materials. • Learns the structure of language and how to create sentences that make sense. • Versatility: • Can be used for various tasks like answering questions, writing stories, or helping with homework. • Adaptable to different subjects and contexts. • Not Perfect: • Can make mistakes or provide incorrect information. • Needs to be used with caution, especially for critical or sensitive topics
- 7. Understanding ChatGPT • Advanced language model developed by OpenAI. • Generates human-like text based on the prompts. • Quality vs prompt. Quality of Response ∝ Quality of Prompt × Model Understanding Here: Quality of Response is the measure of how relevant, accurate, and coherent the response is. Quality of Prompt represents the clarity, specificity, and relevance of the prompt given to the model. Model Understanding , model's ability to interpret the prompt, including its training, design, and current context.
- 8. Prompt Generation Review prompt Crafting a good prompt Clear and Specific. Specify type of Response
- 9. Prompt Engineering • Define the Objective: • Identify the specific information or assistance • Be Clear and Precise: • Use clear language and avoid ambiguity. • Include essential details without over-complicating the prompt. • Consider Context: • Provide relevant background or context to guide the response. • Set the Tone and Style: • Specify the desired tone (formal, casual) or style (e.g., summary, explanation) if it matters for your use case. • Ask Direct Questions: • If seeking specific information, formulate your prompt as a direct question. • Avoid Bias and Leading Questions: • Craft the prompt neutrally to prevent biased or skewed responses. • Test and Refine: • Experiment with different phrasings and observe how slight changes can affect the response. • Refine the prompt • Consider Ethical and Privacy Concerns: • Ethical guidelines and does not request or reveal sensitive or private information.
- 10. Response Validation • Review response - meets your requirements. • No access to real-time data • Vaildate Validate Validate. • Prompt – response -refine - reprompt. Relevance Check Accuracy Confirmation Context Consistency Sensitivity Review Refinement for Future Queries
- 12. What is the Code Interpreter in ChatGPT? • The Code Interpreter - execute Python code • Powerful for code development debugging.
- 13. Please respond to the following query with a structured and academic approach suitable for a university lecturer. Include bullet- point answers where applicable, supported by relevant examples from scholarly literature. Ensure that all statements are backed by credible evidence, and provide appropriate references and citations in accordance with standard academic citation styles (e.g., APA, MLA, or Chicago). The response should be clear, concise, and tailored to an academic audience engaged in higher education teaching and research."
- 14. How to Use ChatGPT with the Code Interpreter • Input your code in the composer area and send it for execution. • ChatGPT can provide code suggestions, help debug your code, and explain complex code snippets. • You can also ask ChatGPT to generate Python code to solve specific problems or perform specific tasks. Return values of functions or expressions Printed messages Data visualizations DataFrames as tables Error messages Execution time Slide Decks Diagrams Interactive Diagrams
- 17. 67-year-old male has dizziness every time he sits up from a lying position, especially in the morning. Also, when he suddenly moves his head, he notes the dizziness. What is the diagnosis
- 18. Relevance to healthcare education • Adapts to individual student needs Personalized Learning: • Creating diverse and engaging educational materials. Content Creation: • Interactive learning experiences (Chatbot) Student Engagement: • Provides real-time assessment and feedback . Assessment and Feedback: • content accessible to diverse learners Accessibility: • Facilitates collaboration among students and educators, bridging geographical and language barriers. Collaboration and Communication:
- 19. Personalized Learning • Tailors educational content Adaptive Content Delivery: • Provides instant feedback and real-time assistance Real-Time Feedback and Support: • Engages with interactive dialogues and Simulates scenarios. Interactive Learning Environments: • Analyses - identify strengths and weaknesses for personalized learning. Data-Driven Insights: • Adapts content to diverse learners & multiple languages. Accessibility and Inclusivity: • Facilitates collaborative learning experiences and peer interactions. Collaboration and Peer Interaction: • Seamlessly integrates with Learning Management Systems (LMS) Integration with Existing Platforms: • Supports lifelong learning and Assists in tracking and maintaining professional development Continuous Learning and Skill Development: • Ensures ethical guidelines and privacy regulations. Ethical and Privacy Considerations: • Aligns personalized learning experiences and Ensures relevance to real- world medical practice Alignment with Healthcare Objectives:
- 20. Act like a virtual patient and provide me symptoms and history so that I can improve my clinical skills
- 22. I have been asked to create a module for the examination of the abdomen for organomegaly for medical students. Create a curriculum and include learning outcomes and the pedagogy and a lesson plan
- 24. Create an assessment task and provide rubrics for the assessment
- 27. Creating Images with AI Vaikunthan Rajaratnam
- 29. Create account and Login
- 32. • Be clear & descriptive • Specific styles or techniques • Create a test version • Evaluate the result • Refine the prompt • Iterative process
- 34. AI for Video Production Draft Learning Outcomes LO to Prompt ChatGPT for video script Import/edi t script to AI Video Generator Add personalised media Choose Voiceover type Produce Review and Upload
- 35. Write a script for the introduction of the anatomy of the organomegaly medical student module. This will be a 90 second video script. Just provide the narration
- 36. Invideo.io
- 39. AI generated Instructional Video
- 40. Assessment and Feedback • Automated Grading: • Grading objective assessments (multiple-choice, fill-in-the-blank, etc.) • Evaluating subjective assessments (short answers, essays) with predefined criteria • Personalized Feedback: • Providing tailored feedback on strengths and areas for improvement • Engaging in interactive dialogues to reinforce learning concepts • Real-time Support: • Offering instant feedback on performance • Available 24/7 for flexible learning schedules • Data-Driven Insights: • Tracking performance over time for individual and class insights • Designing adaptive learning paths based on student needs • Enhancing Human Interaction: • Freeing up educators' time for complex student interactions • Facilitating structured peer review processes • Ethical and Bias Considerations: • Ensuring transparency, fairness, and avoidance of biases in AI-driven assessments
- 41. What are the antibiotics for leprosy treatment
- 42. Based on this question and answer, create a rubrics to mark answers to the question
- 43. “the antibiotics used in leprosy are rifampicin and streptomycin. Sometimes you can use dapsone for resistant cases. Rifampicin is the first line drug” - based on this answer provide a grade for it
- 44. Transforming Teaching with LLMs • Tailoring educational materials • Enhancing teacher collaboration and efficiency • Facilitating personalized learning paths
- 45. Enhancing Student Experience with LLMs • Engaging and interactive learning • Support for diverse learning styles • Opportunities for self-paced learning
- 46. Creating your First AI Chatbot for Learning Botpress.com
- 47. Create Account and Login
- 58. Benefits for Healthcare Employers • Alignment with industry needs • Enhancement of skillsets • Increased collaboration between education and industry
- 59. Improving Patient Care through Education • Better informed healthcare professionals • Use of LLMs in patient education and communication • Enhancing patient outcomes through improved education
- 60. AI & Health Professional Education The Future • Tailored educational content for individual needs. Personalized Learning: • Practice communication and diagnostic skills. Simulated Interactions: • 24/7 access to information and updates. Continual Education Support: • Assisting in identifying patterns and trends. Collaborative Research: • Equitable access to high-quality education. Accessibility and Inclusivity: • Addressing privacy, consent, and ethical use. Ethical Considerations: • Maximizing effectiveness and efficiency. Integration with Existing Systems: • Innovative tools for real-time feedback and analysis. Assessment and Evaluation:
- 61. Resources • https://tinyurl.com/LDBOT23 • https://tinyurl.com/AIAWRITEBOT AI CHAT BOT for AI_POWERED ACADEMIC WRITING