Abstract
In health care, there are still many devices with poorly designed user
interfaces that can lead to user errors. Especially in acute care, an
error can lead to critical conditions in patients. Previous research
has shown that the use of augmented reality can help to better
monitor the condition of patients and better detect unforeseen
events. The system created in this work is intended to aid in the
detection of changes in patient and equipment-data in order to
increase detection of critical conditions or errors.
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