Socially Assistive Robots (SAR) in In-Patient Care for the Elderly.

Austria business model human-machine interaction in-patient care of the elderly socially assistive robots use cases

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:
2019
Historique:
entrez: 24 5 2019
pubmed: 24 5 2019
medline: 3 9 2019
Statut: ppublish

Résumé

In-patient care of the elderly is currently being put to the test in all developed industrial nations. The aim is to make the resident-centered and nursing-related care more professional. In addition to the organizational and interdisciplinary orientation, the use of socially assistive robot technologies and artificial intelligence is increasingly coming to the fore. By means of literature research, expert interviews and an online survey of Upper Austrian nursing home directors, current and future challenges and challenges for the use of socially assistive robots (SAR) in in-patient care for the elderly were identified and prioritized. It becomes clear that the technological and application-oriented maturity of SAR as well as the modular adaptation of the hybrid SAR services to the existing structures and processes from the point of view of the nursing home management are in the foreground. In the future, it will be increasingly important to bring the process-related and technological support of human-machine interaction through SAR to a value-adding level.

Identifiants

pubmed: 31118335

Types de publication

Journal Article

Langues

eng

Pagination

178-185

Auteurs

Johannes Kriegel (J)

Institute for Management and Economics in Healthcare, UMIT - University for Health Sciences, Medical Informatics & Technology, 6060 Hall i.T., Austria.

Victoria Grabner (V)

Alten- und Pflegeheime der Kreuzschwestern GmbH, Sierning, Austria.

Linda Tuttle-Weidinger (L)

Department Gesundheits-Sozial- und Public Management, Fachhochschule Oberösterreich, Linz, Austria.

Irmtraud Ehrenmüller (I)

Department Gesundheits-Sozial- und Public Management, Fachhochschule Oberösterreich, Linz, Austria.

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Classifications MeSH