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A Survey of Robotic Systems for Nursing Care
An increase of the aging population with a decrease in the available nursing staff has been seen in recent years. These two factors combined present a challenging problem for the future and has since become a political issue in many countries. Technological advances in robotics have made its use pos...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021873/ https://www.ncbi.nlm.nih.gov/pubmed/35462781 http://dx.doi.org/10.3389/frobt.2022.832248 |
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author | Nieto Agraz, Celia Pfingsthorn, Max Gliesche, Pascal Eichelberg, Marco Hein, Andreas |
author_facet | Nieto Agraz, Celia Pfingsthorn, Max Gliesche, Pascal Eichelberg, Marco Hein, Andreas |
author_sort | Nieto Agraz, Celia |
collection | PubMed |
description | An increase of the aging population with a decrease in the available nursing staff has been seen in recent years. These two factors combined present a challenging problem for the future and has since become a political issue in many countries. Technological advances in robotics have made its use possible in new application fields like care and thus it appears to be a viable technological avenue to address the projected nursing labor shortage. The introduction of robots in nursing care creates an active triangular collaboration between the patient, nurse, and robot, which makes this area significantly different from traditional human–robot interaction (HRI) settings. In this review, we identify 133 robotic systems addressing nursing. We classify them according to two schemes: 1) a technical classification extended to include both patient and nurse and 2) a novel data-derived hierarchical classification based on use cases. We then analyze their intersection and build a multidimensional view of the state of technology. With this analytical tool, we describe an observed skew of the distribution of systems and identify gaps for future research. We also describe a link between the novel hierarchical use case classification and the typical phases of nursing care from admission to recovery. |
format | Online Article Text |
id | pubmed-9021873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90218732022-04-22 A Survey of Robotic Systems for Nursing Care Nieto Agraz, Celia Pfingsthorn, Max Gliesche, Pascal Eichelberg, Marco Hein, Andreas Front Robot AI Robotics and AI An increase of the aging population with a decrease in the available nursing staff has been seen in recent years. These two factors combined present a challenging problem for the future and has since become a political issue in many countries. Technological advances in robotics have made its use possible in new application fields like care and thus it appears to be a viable technological avenue to address the projected nursing labor shortage. The introduction of robots in nursing care creates an active triangular collaboration between the patient, nurse, and robot, which makes this area significantly different from traditional human–robot interaction (HRI) settings. In this review, we identify 133 robotic systems addressing nursing. We classify them according to two schemes: 1) a technical classification extended to include both patient and nurse and 2) a novel data-derived hierarchical classification based on use cases. We then analyze their intersection and build a multidimensional view of the state of technology. With this analytical tool, we describe an observed skew of the distribution of systems and identify gaps for future research. We also describe a link between the novel hierarchical use case classification and the typical phases of nursing care from admission to recovery. Frontiers Media S.A. 2022-04-07 /pmc/articles/PMC9021873/ /pubmed/35462781 http://dx.doi.org/10.3389/frobt.2022.832248 Text en Copyright © 2022 Nieto Agraz, Pfingsthorn, Gliesche, Eichelberg and Hein. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Nieto Agraz, Celia Pfingsthorn, Max Gliesche, Pascal Eichelberg, Marco Hein, Andreas A Survey of Robotic Systems for Nursing Care |
title | A Survey of Robotic Systems for Nursing Care |
title_full | A Survey of Robotic Systems for Nursing Care |
title_fullStr | A Survey of Robotic Systems for Nursing Care |
title_full_unstemmed | A Survey of Robotic Systems for Nursing Care |
title_short | A Survey of Robotic Systems for Nursing Care |
title_sort | survey of robotic systems for nursing care |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021873/ https://www.ncbi.nlm.nih.gov/pubmed/35462781 http://dx.doi.org/10.3389/frobt.2022.832248 |
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