An User-centred AI-based Assistance System to Encounter Pandemics in Clinical Environments: A Concept Overview

Christian Wiede, Roman Seidel, Carolin Wuerich, Damir Haskovic, Gangolf Hirtz, Anton Grabmaier

2021

Abstract

The current coronavirus pandemic has highlighted the need for enhanced digital technologies to provide high quality care to patients in hospitals while protecting the health and safety of the medical staff. It can also be expected that there will be a second and third wave in the corona pandemic and that preparation for future pandemics must be made. In order to close this emerging gap, we propose a concept aiming at boosting the adoption of AI and robotic related technologies to ensure sustainable, patient-centred care in hospitals. The planned assistance system will provide a continuous and safe monitoring of patients in the whole hospital environment from entrance to the ward, including data security and protection. The benefits consist in a fast detection of possible infected persons, a continuous monitoring of patients, a support by robots to reduce physical contacts during epidemics, and an automatic disinfection by robots. In addition to the technical challenges, medical, social and economic challenges for such an assistance system are discussed.

Paper Citation

in Harvard Style

Wiede C., Seidel R., Wuerich C., Haskovic D., Hirtz G. and Grabmaier A. (2021). An User-centred AI-based Assistance System to Encounter Pandemics in Clinical Environments: A Concept Overview. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 693-700. DOI: 10.5220/0010301006930700

in Bibtex Style

@conference{visapp21,
author={Christian Wiede and Roman Seidel and Carolin Wuerich and Damir Haskovic and Gangolf Hirtz and Anton Grabmaier},
title={An User-centred AI-based Assistance System to Encounter Pandemics in Clinical Environments: A Concept Overview},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={693-700},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010301006930700},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - An User-centred AI-based Assistance System to Encounter Pandemics in Clinical Environments: A Concept Overview
SN - 978-989-758-488-6
AU - Wiede C.
AU - Seidel R.
AU - Wuerich C.
AU - Haskovic D.
AU - Hirtz G.
AU - Grabmaier A.
PY - 2021
SP - 693
EP - 700
DO - 10.5220/0010301006930700
PB - SciTePress