Chances and Risks of Using Robotic Assistance Systems in Early Neurological Rehabilitation: A Qualitative Analysis.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
29 Jun 2022
Historique:
entrez: 1 7 2022
pubmed: 2 7 2022
medline: 6 7 2022
Statut: ppublish

Résumé

Robotic assistance systems offer new therapeutic perspectives for patient mobilization. This work aims to investigate the chances and risks of robotic assistance systems in early neurological rehabilitation. Nine professionals working in physiotherapy and nursing were interviewed on their opinion on robotic assistance systems. The experts were recruited in three different clinics, one of which has already established robot-assisted rehabilitation. 171 individual codes were extracted from the interviews. Based on the professionals' statements and the literature, the most significant added value of robotic assistance systems is seen in the expected relief of employees. The study results and the literature confirm the potential of robotic systems for early neurological rehabilitation.

Identifiants

pubmed: 35773904
pii: SHTI220758
doi: 10.3233/SHTI220758
doi:

Types de publication

Journal Article

Langues

eng

Pagination

434-437

Auteurs

Ann-Kathrin Waibel (AK)

DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.

Felix Holl (F)

DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.
Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig Maximilian University of Munich, Munich, Germany.

Walter Swoboda (W)

DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.

Marina Fotteler (M)

DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.
Institute for Geriatric Research, Ulm University, Ulm, Germany.

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Classifications MeSH