Advancing Medical Simulation with Generative AI and Extended Reality, with Logosnet
Wednesday October 30, 2:00 PM - 3:00 PM GMT
Speakers:
- Barbara Bertagni, Clin PsyD, PhD – Founder and Managing Partner, e-REAL Labs at Logosnet (Turin, Italy; Lugano, Switzerland; Houston and New York, USA).
- Roxane Gardner, MD, MPA, MPH, PhD – Executive Director of the Harvard Center for Medical Simulation (Boston, USA).
- Jenny Rudolph, PhD – Senior Director for Innovation at the Harvard Center for Medical Simulation (Boston, USA).
- Fernando Salvetti, PhD – Founder and Managing Partner, e-REAL Labs at Logosnet (Turin, Italy; Lugano, Switzerland; Houston and New York, USA).
Overview:
This webinar will delve into the evolving roles of Generative AI and Extended Reality (XR) in medical simulation, emphasizing their potential beyond just ChatGPT. While large language models like ChatGPT, Gemini, Claude, or LLaMA have made headlines, other AI-driven solutions—such as machine learning algorithms for predictive analytics, natural language processing (NLP), and AI-powered debriefing tools—are also shaping the future of medical simulation. The session will highlight the diversity of AI technologies and how these, coupled with XR, can revolutionize healthcare education by enhancing scenario development, real-time analytics, and feedback mechanisms.
Content:
1. Exploring Generative AI in Medical Simulation:
- The role of AI in creating dynamic, responsive simulation scenarios: personalized learning pathways and real-time analytics.
- Moving beyond ChatGPT: AI applications like decision support systems, predictive models, and NLP for medical training.
- Practical examples of AI-powered tools that aid in real-time decision-making, scenario adjustments, and feedback collection.
2. Case Studies and Real-World Applications:
- Highlighting successful implementations of AI and XR technologies to simulate healthcare scenarios, enhancing the learning of technical and non-technical skills, and improving learner engagement.
- Discussing the false expectations that often surround AI technologies in healthcare simulation, and providing a grounded understanding of what AI can realistically achieve today.
- Addressing common misconceptions, such as AI’s perceived autonomy in clinical decision-making, and how human oversight and collaboration with AI can lead to the most effective training outcomes.
3. Enhancing Debriefing and Feedback with AI:
- AI’s role in analyzing learner performance, automating feedback, and tracking progress over time.
- How AI-driven insights can support instructors in refining debriefing processes, making them more personalized and effective.
- Q&A and Interactive Discussion:
- Participants will have the opportunity to engage with the speakers, discuss their experiences with AI and XR in medical simulation, and clarify any misconceptions regarding these technologies.
The evolution of the Simulated Patient role: Standards of best practice and innovation in the use of professionally trained simulation/role play actors with PEEL Roleplay Limited
Thursday October 31, 12:30 PM - 1:30 PM GMT
‘Simulation as a Professional Practice – Developing consensus for the professional development of simulation faculty’ Webinar.
24th September, 12:30 - 13:30
On 24 September ASPiH and the TEL Becoming Simulation Faculty Programme will be presenting a webinar ‘Simulation as a Professional Practice – Developing consensus for the professional development of simulation faculty’.
Race & Practice – Exploring the use of simulation to promote discussions around racism in healthcare
Tuesday, 1st October at 3pm
Over the last 2 years, the simulation team at Oxford Health NHS Foundation Trust has been exploring the use of simulation in promoting awareness of the impact of structural and institutional racism on mental healthcare delivery. This work has been done at both an undergraduate and a continuing professional development level with both an interprofessional learning cohort and an interprofessional faculty. Our colleagues at Oxford Brookes University have helped to shape and develop the courses further and we are now evaluating their impact together.
Given that huge health inequalities exist across all healthcare settings for those from black and minority ethnic backgrounds, we are beginning to generalise our work to other areas with the recognition that racism is enacted in various ways across healthcare.
In this webinar, we will introduce attendees to our work, discuss the design and delivery considerations that arose, and discuss future implications for this type of work.
Practical Insights for AI in Education with Aston University & SimConverse
Wednesday 2nd October 12:30 to 13:30
Adopting AI in education shouldn’t require an engineering degree, it should be accessible to everyone.
Join this webinar to see first-hand practical insights for adopting AI in your HEI, FE or Trust from the CATE-Award-Winning Aston University project.
Hosted by Natalie Lewis (Assoc. Dean Education, Aston University) & Will Pamment (COO & Co-Founder, SimConverse) the session will cover key takeaways from increasing practice learning by 17,000 hours, the difficulties and practical implications when adopting AI, along with a real-world framework to apply when adopting AI yourself.
