Insights from the 1st International video modelling meeting with students, teachers and trainers, surgeons and nurses and experts on the field of healtcare international training and learning!
On the 30th of May 2025, the ClinicalModelling consortium promoted the 1st international meeting to discuss and plan the future of the ClinicalModelling methodology and outcomes. The event was promoted online and gathered 24 participants from Portugal, Slovenia, Poland and Spain that had the privilige of implementing the approach in their settings. Two external experts, one from Portugal and another one from Brazil, accepted the challenge on joining the team in the discussion, bringing new insigts and thoughts to the discussion.
The meeting began with the introduction of our external experts, whose expertise will enrich the project with diverse perspectives and valuable knowledge.
Sandra Queiroz, from Portugal, is a highly experienced nurse specialized in surgical nursing, science, and education. Since 1984, she has served as a coordinator and teacher in higher military education, and in recent years has focused on alarm systems and artificial intelligence (AI). Her unique blend of clinical, educational, and technological expertise brings significant added value to our work.
Professor Leila Santos, from the Faculty of Medical Sciences in Minas Gerais, Brazil, is an expert in nursing and medical sciences. Her involvement provides a distinct cultural and continental perspective, offering fresh insight and diversity that strengthen the project’s analysis and approach.
An overview of the Clinical Modelling approach, its context, and implementation settings was shared ahead of the preliminary piloting results.
The ClinicalModelling approach combines video modelling (to replicate best practices) and video self-modelling (to boost self-reflection and learning). Using smart glasses, procedures are recorded in real hospital settings and in simulation environments in higher and vocational education.
This method supports team learning in hospitals and individual skill development in education, backed by tailored resources, ethical guidelines, and blended training for professionals and educators.
Preliminary results show that the approach was well-received — especially by students, who showed greater motivation, critical thinking, and fewer errors. Though there was initial stress using the technology, with practice it became easier and helped participants better assess and improve their techniques.
The meeting included a rich exchange of experiences and feedback from students, teachers, trainers, surgeons, and nurses involved in the pilot testing. Participants highlighted how:
✨ The methodology helps students spot mistakes, refine techniques, and learn faster by seeing themselves from a new perspective.
✨ It helps teachers deliver consistent, accessible training and better support student performance beyond the classroom.
✨ It enables universities to stand out with innovative, high-quality teaching that empowers students to excel.
✨ It helps healthcare teams master complex cases through sharper communication, stronger confidence, and smarter decisions.
✨ It supports clinics and hospitals in delivering smarter training, smoother onboarding, and stronger teamwork for complex tasks.
External experts also shared valuable contributions, highlighting that the approach is seen as innovative and well-suited for digital-native learners, with strong potential to modernize training in healthcare. They noted key challenges, including video editing, recording quality, and ethical issues, and suggested clear guidelines, dedicated support staff, and additional resources like tutorials to ease adoption. In the long term, the methodology shows great promise for building technical competences, supporting professional development, and could be further enhanced through collaboration with VR technologies.
Stay tuned for the upcoming national round tables and second project meeting, where we’ll define the next steps to scale up the ClinicalModelling approach to medical residencies and nursing internships, broadening its impact across clinical education and training.
Follow ClinicalModelling on LinkedIn for the latest updates on resources and project developments!