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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Robotics and AI |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2022.832248/full |
| _version_ | 1819047349069021184 |
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| author | Celia Nieto Agraz Max Pfingsthorn Pascal Gliesche Marco Eichelberg Andreas Hein |
| author_facet | Celia Nieto Agraz Max Pfingsthorn Pascal Gliesche Marco Eichelberg Andreas Hein |
| author_sort | Celia Nieto Agraz |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-21T10:58:57Z |
| format | Article |
| id | doaj.art-1c2818bf2d3d42fab3af60ed3d955b06 |
| institution | Directory Open Access Journal |
| issn | 2296-9144 |
| language | English |
| last_indexed | 2024-12-21T10:58:57Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Robotics and AI |
| spelling | doaj.art-1c2818bf2d3d42fab3af60ed3d955b062022-12-21T19:06:25ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442022-04-01910.3389/frobt.2022.832248832248A Survey of Robotic Systems for Nursing CareCelia Nieto Agraz0Max Pfingsthorn1Pascal Gliesche2Marco Eichelberg3Andreas Hein4R&D Department Production, OFFIS-Institute for Information Technology, Oldenburg, GermanyR&D Department Production, OFFIS-Institute for Information Technology, Oldenburg, GermanyR&D Department Production, OFFIS-Institute for Information Technology, Oldenburg, GermanyR&D Department Production, OFFIS-Institute for Information Technology, Oldenburg, GermanyAssistance Systems and Medical Device Technology, Department of Health Services Research, Carl von Ossietzky University Oldenburg, Oldenburg, GermanyAn 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.https://www.frontiersin.org/articles/10.3389/frobt.2022.832248/fullcarenursingrobothuman–robot interactionautomationclassification |
| spellingShingle | Celia Nieto Agraz Max Pfingsthorn Pascal Gliesche Marco Eichelberg Andreas Hein A Survey of Robotic Systems for Nursing Care Frontiers in Robotics and AI care nursing robot human–robot interaction automation classification |
| 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 | care nursing robot human–robot interaction automation classification |
| url | https://www.frontiersin.org/articles/10.3389/frobt.2022.832248/full |
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