Abstract
This paper introduces a concept for an assistance system
that enables nursing staff in real-life clinical settings to reduce the timeconsuming
nursing documentation effort, e.g. from the morning routine.
The overall goal is an AI-based documentation assistant that pre-fills the
documentation record. An essential constraint in collecting and processing
data is the use of sensors and features that preserve people’s privacy
and the acceptance of being observed.
The selected sensors are known body-worn acceleration sensors as well
as far-infrared based thermal scans. During the training and evaluation
phase, the use of an Azure Kinect is foreseen as well. A crucial intermediate
step within the AI based concept is the autonomous identification
and learning of actions that form an activity that is recognised as a part
of the entire routine added to the documentation. Both open data sets
and self-recorded material tailored to the use case are to be used for this
purpose. By checking the automatically generated documentation results
after each treatment by the nursing staff, additional training material is
to be constantly generated during the application operation in order to
improve the pattern recognition systems in the processing layer in the
long term.