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Published VersionCC BY-NC-SA V4.0, Open Access
Journal article
Telepresence robots to support telehealth during pandemics
Digital Medicine, Vol.8(1), pp.1-8
2022
Abstract
As the world becomes older, sustainable healthy aging becomes an important goal of social development. Robotic technologies have been widely considered an effective solution to reduce the labor demand and cost in aged care, thus providing satisfiable services to the elderly while keeping the cost low. The global outbreak of corona virus disease 2019 (COVID-19) has strengthened this trend when it impacted the elderly most because (1) the elderly was generally the most vulnerable population group to pandemics, and (2) the resources available to the elderly significantly declined due to lockdown and quarantines. The observations and experience from COVID-19 inspired us to consider the impact of pandemics on sustainable healthy aging, which was largely missing in existing work, leading to the study of the use of robots in general and telepresence robots in specific to aid sustainable healthy aging. The methodology of systematic review is applied to retrieve and analyze the articles published in nine databases between 2010 and 2020. Based on the review, the paper classifies the applications of robots in pandemics into four main categories, including healthcare, social support, education, and manufacturing. Further analysis of these applications revealed the missing features and challenges in applying them to healthy aging. The discoveries and findings in this paper provide practical guidelines for the future design and development of (telepresence) robots.
Details
- Title
- Telepresence robots to support telehealth during pandemics
- Authors
- Chongdan Pan (Author) - Shanghai Jiao Tong UniversityMingzhong Wang (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringPradeep Kumar Ray (Author) - Shanghai Jiao Tong University
- Publication details
- Digital Medicine, Vol.8(1), pp.1-8
- Publisher
- Wolters Kluwer - Medknow Publications and Media Pvt. Ltd.
- Date published
- 2022
- DOI
- 10.4103/digm.digm_15_22
- ISSN
- 2226-8561; 2542-629X
- Copyright note
- This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution‑NonCommercial‑ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non‑commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99695598902621
- Output Type
- Journal article
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