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COVID-19 and rising student numbers are affecting healthcare education, particularly access to clinical placements. As healthcare education is increasingly supported by technology and non-traditional teaching methods, educational experiences gained through clinical placement also require new approaches. This article explores and discusses the use of a simulated clinical placement for a dietetic student cohort. During this virtual placement, students were able to explore and experience a virtual clinical setting and immerse themselves in a placement experience. A vast range of virtual resources were linked to the online placement portal, including statutory and mandatory training, dietetic resources, patient journeys and interprofessional communication. Advantages of this approach include that all students experience a given situation, unlike in traditional placements where workloads, variety and engagement vary; there is also no risk to patient safety. The aim is to enhance the learning experience to create effective, efficient clinicians. This virtual placement for dietetics is part of a bigger project to develop and evaluate the use of a virtual placement framework in a range of professions. The concept of virtual placement may have been brought forward by the COVID-19 crisis but was inevitable with the move to more technology-enhanced learning tools.

BackgroundThe use of brain imaging techniques in healthcare simulation is relatively rare. However, the use of mobile, wireless technique, such as functional near-infrared spectroscopy (fNIRS), is becoming a useful tool for assessing the unique demands of simulation learning. For this study, this imaging technique was used to evaluate cognitive load during simulation learning events.MethodsThis study took place in relation to six simulation activities, paired for similarity, and evaluated comparative cognitive change between the three task pairs. The three paired tasks were: receiving a (1) face-to-face and (2) video patient handover; observing a simulated scene in (1) two dimensions and (2) 360° field of vision; and on a simulated patient (1) taking a pulse and (2) taking a pulse and respiratory rate simultaneously. The total number of participants was n=12.ResultsIn this study, fNIRS was sensitive to variations in task difficulty in common simulation tools and scenarios, showing an increase in oxygenated haemoglobin concentration and a decrease in deoxygenated haemoglobin concentration, as tasks increased in cognitive load.ConclusionOverall, findings confirmed the usefulness of neurohaemoglobin concentration markers as an evaluation tool of cognitive change in healthcare simulation. Study findings suggested that cognitive load increases in more complex cognitive tasks in simulation learning events. Task performance that increased in complexity therefore affected cognitive markers, with increase in mental effort required.

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