Course details here: https://members.physio-pedia.com/ai-masterclass-for-healthcare-professionals-programme-course
Register here: https://www.physiospot.com/2024/09/10/register-now-to-become-a-master-ai-user-with-this-free-massive-open-online-course-starting-monday-7-october/
Introduction
AI is everywhere and it’s evolving rapidly, significantly changing how we interact with technology and bringing profound changes to education, research, clinical practice, and health systems.
This programme of courses explores the potential of AI across all aspects of healthcare. The first course introduces frontier AI models and their capabilities. The following courses discuss the potential of AI to enhance learning, support research practices, or even conduct research, and assist in diagnosis and clinical performance.
Two additional webinars explore how you can use AI in your daily life and the broader implications of AI in health systems.
Whether you are a clinician, researcher, educator, or healthcare administrator, this programme will highlight the myriad possibilities of AI and provide you with the knowledge to integrate AI into your professional and personal life.
Aims
This programme aims to introduce the capabilities of AI in healthcare education, research, clinical practice and health systems.
Programme courses
To complete this programme you will need to work through each of the following separate courses, in the order suggested and submit a final reflection that evidences your learning relating to the AI Masterclass for Healthcare Professionals Programme.
This programme involves the following 4 courses:
State of the Art in AI
Generative AI (GenAI) is rapidly evolving and is used in more and more settings, including healthcare, rehabilitation, education and research. GenAI’s multimodal capabilities can be used to create text, audio, images, videos, and more. However, using GenAI effectively requires careful prompting. This course, the first in a series on AI, sets the scene, providing an overview of GenAI, before exploring how you can get the most out of GenAI through structured prompt writing.
AI in Health Professions Education
Artificial intelligence (AI) has many potential applications in health professions education, from generating learning materials to providing student feedback and assisting with assessments. Incorporating AI tools into academic programmes creates opportunities for educators to develop new teaching strategies and deliver personalised, diversified learning experiences for students. While there are many possibilities, there are also specific considerations when adopting AI tools in an academic setting. This course explores how educators and students can effectively integrate AI into learning, teaching and assessment.
AI in Research
The academic and research landscape is changing, with artificial intelligence (AI) offering new possibilities and challenges at each stage of the research process. AI has the potential to enhance researchers’ capabilities and efficiency in all aspects of research, from the literature review to data analysis, idea generation and study design, but it also comes with unique challenges. This course overviews the capabilities of AI in research, introducing different AI tools that can be used to streamline processes, enhance creativity and generate new insights. However, these benefits will be weighed against the need for critical thinking, ethical considerations and maintaining research integrity throughout this new phase in research.
AI in Clinical Practice
The integration of artificial intelligence (AI) into rehabilitation and clinical practice presents both unprecedented opportunities and profound challenges that will reshape the future of our profession. Concerns about new technologies coming between the clinician and patient are increasingly relevant. These changes highlight a need for current and ongoing conversations and education for healthcare providers on the potential uses and benefits of AI in clinical practice. This course explores the evolving relationship between generative AI, the human clinician, and the patient. The discussion includes an exploration of the ethical and professional challenges of integrating AI into healthcare, as well as the AI educational requirements for new and currently practising rehabilitation professionals.