Literature DB >> 24317027

The coming revolution in personal care robotics: what does it mean for nurses?

Nancy C Sharts-Hopko1.   

Abstract

The business sector provides regular reportage on the development of personal care robots to enable elders and people with disabilities to remain in their homes. Technology in this area is advancing rapidly in Asia, Europe, and North America. To date, the nursing literature has not addressed how nurses will assist these vulnerable populations in the selection and use of robotic technology or how robotics could effect nursing care and patient outcomes. This article provides an overview of development in the area of personal care robotics to address societal needs reflecting demographic trends. Selected relevant issues related to the human-robotic interface including ethical concerns are identified. Implications for nursing education and the delivery of nursing services are identified. Collaboration with engineers in the development of personal care robotic technology has the potential to contribute to the creation of products that optimally address the needs of elders and people with disabilities.

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Year:  2014        PMID: 24317027     DOI: 10.1097/NAQ.0000000000000000

Source DB:  PubMed          Journal:  Nurs Adm Q        ISSN: 0363-9568


  4 in total

Review 1.  Artificial intelligence for good health: a scoping review of the ethics literature.

Authors:  Kathleen Murphy; Erica Di Ruggiero; Ross Upshur; Donald J Willison; Neha Malhotra; Jia Ce Cai; Nakul Malhotra; Vincci Lui; Jennifer Gibson
Journal:  BMC Med Ethics       Date:  2021-02-15       Impact factor: 2.652

2.  Companion robots for older adults: Rodgers' evolutionary concept analysis approach.

Authors:  Jeongeun Kim; Sukwha Kim; Seongheui Kim; Euehun Lee; Yoonjeong Heo; Cheol-Yong Hwang; Yun-Young Choi; Hyoun-Joong Kong; Hyeongju Ryu; Hyeongsuk Lee
Journal:  Intell Serv Robot       Date:  2021-11-16       Impact factor: 2.468

3.  Role of Assistive Robots in the Care of Older People: Survey Study Among Medical and Nursing Students.

Authors:  Sylwia Łukasik; Sławomir Tobis; Sylwia Kropińska; Aleksandra Suwalska
Journal:  J Med Internet Res       Date:  2020-08-12       Impact factor: 5.428

Review 4.  Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review.

Authors:  Christine Buchanan; M Lyndsay Howitt; Rita Wilson; Richard G Booth; Tracie Risling; Megan Bamford
Journal:  JMIR Nurs       Date:  2021-01-28
  4 in total

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