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Arthur
Arthur has been designed to support those working in child health to effectively communicate, assess, diagnose and treat young patients in a diverse range of critical scenarios in a variety of clinical settings.
Scenario Builder
Creating scenarios has never been this easy! Highly flexible in its operation, our scenario builder software allows you to create simple to more complex patient cases through its touchscreen ‘drag and drop’ capability.
Drop in, Slide to Sequence and Easy Adjustment of patient events and physiological parameters, make it possible to fully customise your programmes for trainees to acquire the required competencies.
Instructor Software
Our Instructor Tablet with its quality touch screen makes navigation between windows and menus a totally seamless experience.
Of course, it has all the functionality you would expect from an instructor tablet: automated and manual scenario modes; easy selection of patient states and themes; synchronised vital signs with the patient monitor; slider controls for nuanced changes to the patient’s condition… but it’s the intuitiveness of the GUI that is the real game-changer here. From ‘pick-up-andplay’ to running complex scenarios, it really is that simple.
Patient Monitor Software
Our touchscreen patient monitor displays vital signs with a familiar look and functionality typical of its real counterparts.
It is fully customisable and the operator can simply select and display vital signs most appropriate to the patient’s clinical case.
Arthur's Action Log captures performance data from the scenario to allow for a quality debrief and reflective learning.
Debrief Viewer
The debrief is arguably the most important element of the simulation exercise, which is why we have put careful attention to the features within our Debrief Viewer.
Our debrief software provides the instructor with unprecedented flexibility in its operation. Whether you review the session from start to finish or jump to time-stamped events, we have made it easy to find and access meaningful moments within the simulation with full patient data to ensure the best possible learning outcomes.
