Jungo, Valérie; Lueg, Christopher; Hofer, Franziska; Bender, Matthias (October 2020). Evaluating Mobile Remote Presence Bots for Medical Consultation in Nursing Homes In: 83rd Annual Meeting of the Association for Information Science and Technology (ASIS&T). ASIS&T
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Jungo V Poster 2020 final - subm 2.pdf - Accepted Version Available under License Publisher holds Copyright. Download (122kB) | Preview |
Interviews with nursing home residents and medical practitioners who used a telepresence robot aka mobile remote presence bot (MRP) for medical consultation suggest that consulting via MRP is viable option for certain types of consultations. Participants perceived communication via the MRP as generally positive and the interaction felt natural even though it clearly wasn't the same as face-to-face conversation. The interpersonal quality of communication was slightly reduced; consultations may become more effective however this may impact on the emotional relationship between patients and doctors. Medical practitioners would be able to spend more time in conversation with their patients since time spent travelling to residential homes is greatly reduced. Consulting via MRP also offers a safe option during isolation regimes like the ones that have been implemented in long term care facilities around the world during the SARS-CoVID-2 pandemic.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
School of Engineering and Computer Science > Institut für Medizininformatik I4MI |
Name: |
Jungo, Valérie; Lueg, Christopher  0000-0003-1022-5724; Hofer, Franziska and Bender, Matthias |
Subjects: |
B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
Publisher: |
ASIS&T |
Language: |
English |
Submitter: |
Christopher Lueg |
Date Deposited: |
09 Nov 2020 08:42 |
Last Modified: |
22 Nov 2021 02:30 |
Related URLs: |
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ARBOR DOI: |
10.24451/arbor.13007 |
URI: |
https://arbor.bfh.ch/id/eprint/13007 |
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