Authors:
Sandra Hellmers
1
;
Tobias Krahn
2
;
Martina Hasseler
3
and
Andreas Hein
1
Affiliations:
1
Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
;
2
OFFIS e.V. – Institute for Information Technology, Oldenburg, Germany
;
3
Faculty of Health Sciences, Ostfalia University of Applied Sciences, Wolfsburg, Germany
Keyword(s):
Nursing Documentation, Nursing Process, Generative AI, Nutrition, Body Tracking, Functional Assessment, Nursing Language.
Abstract:
The nursing process involves a cyclic sequence of functional and cognitive assessments and diagnosis, care planning, implementation, and evaluation of care. Ideally, this process should be performed regularly and documented in a standardized nursing language. However, due to the high workload of nurses, this approach is not systematically followed. Therefore, we developed a concept that enables a daily, technology-supported assessment during the activity of nutrition intake. For this purpose, we used camera-based body tracking to derive the hand and relevant object trajectories to analyze the movements regarding assistance needs and functional changes over time. We tested the approach of using generative AI to create training data sets. Our feasibility study has shown that trajectories can be derived and analyzed regarding assistance requirements. Although the quality is not yet satisfactory, generative AI can be used to create training data. Considering the rapid pace of further dev
elopments in generative AI, the approach seems to be promising. In conclusion, we believe that the technical support and documentation of the nursing process have the potential to increase the quality of care while reducing the workload of nurses.
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