AI and Clinical Education: Can Chatbots Teach Doctors?

Bridging the Gap: How Implementation Science is Transforming Medical Education

In this episode, Zaynab and Yassin explore the growing role of Implementation Science (IS) in medical education. Based on a recent narrative review, they dive into how IS helps bridge the gap between research and real-world educational practice. The discussion highlights key IS frameworks like the Consolidated Framework for Implementation Research (CFIR) and RE-AIM, and implementation strategies such as stakeholder engagement and faculty development. They also address the challenges of bringing new ideas into medical education, including resistance to change and resource constraints. Tune in to learn how IS is reshaping the way we think about educational interventions and how it can drive future innovations in medical education. Link to the article: https://osf.io/preprints/edarxiv/6aqxf [https://osf.io/preprints/edarxiv/6aqxf]

Training for Crisis: Preparing Healthcare Teams for Mass Casualty Incidents

In today’s episode, Zaynab and Yassin discuss a review that explores innovative training methods for preparing healthcare teams to handle Mass Casualty Incidents (MCIs). These incidents, like natural disasters or large-scale accidents, require a rapid, coordinated response from emergency medical teams. The review looks at how cutting-edge training techniques can be applied to improve the readiness and capabilities of healthcare providers, ultimately influencing emergency preparedness policies and resource allocation. Tune in as we dive into how advancements in training methods are being used to shape the future of MCI preparedness. Link to the publication: https://osf.io/qvsrz/download

AI and Clinical Education: Can Chatbots Teach Doctors?

In this episode, Zaynab and Yassin explore the potential of using artificial intelligence, specifically large language models like ChatGPT, to generate clinical cases for continuing medical education (CME). A recent study out of the MENA region puts this idea to the test by creating COVID-19 clinical cases using AI and presenting them to physicians and clinical educators. The findings are promising, showing that AI-generated cases can encourage active learning and clinical reasoning among healthcare professionals. However, challenges remain in ensuring these tools are adopted widely and used effectively. Tune in as we discuss how AI could reshape medical education and what hurdles still need to be overcome. Link to the publication / DOI: 10.3233/SHTI240705

Shining a Light on Clinical Teaching: What Happens on Hospital Ward Rounds?

In this episode, Zaynab and Yassin dive into a research paper that explores the often-overlooked world of clinical teaching during hospital ward rounds. The study, conducted at a private hospital in Dubai, uses a time and motion analysis to measure how much and what type of teaching actually happens during ward rounds for undergraduate medical students. The findings reveal that while about 25% of ward round time was spent on teaching, most of it was passive and low in cognitive demand, sparking a conversation on the need for more active and high-quality teaching strategies. Join us as we discuss how this research could lead to improvements in medical education and student learning outcomes in clinical settings. Link to the publication: https://doi.org/10.3389/fmed.2024.1377903

Chatbots and Vaccine Confidence: The Power of VWise

In this episode, Zaynab and Yassin explore how a low-cost chatbot, VWise, was developed in the UAE to combat COVID-19 vaccine misinformation. They dive into the research behind VWise, including its use of motivational interviewing techniques and conversational design to engage users on Facebook Messenger. The hosts discuss the chatbot's effectiveness in shifting perceptions about mRNA vaccines, even in a pilot study with just 33 participants. Could this simple yet powerful tool signal a future where chatbots play a key role in public health education? Tune in to find out how VWise might be paving the way for more accessible, empathetic digital health solutions. Link to the publication: https://doi.org/10.1016/j.pecinn.2023.100239