About: Robotics Utilization for Healthcare Digitization in Global COVID-19 Management

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Robotics Utilization for Healthcare Digitization in Global COVID-19 Management
Creator	Lee, Chang Hameed Khan, Zeashan Siddique, Afifa
Source	Medline; PMC
abstract	This paper describes the evolving role of robotics in healthcare and allied areas with special concerns relating to the management and control of the spread of the novel coronavirus disease 2019 (COVID-19). The prime utilization of such robots is to minimize person-to-person contact and to ensure cleaning, sterilization and support in hospitals and similar facilities such as quarantine. This will result in minimizing the life threat to medical staff and doctors taking an active role in the management of theCOVID-19 pandemic. The intention of the present research is to highlight the importance of medical robotics in general and then to connect its utilization with the perspective of COVID-19 management so that the hospital management can direct themselves to maximize the use of medical robots for various medical procedures. This is despite the popularity of telemedicine, which is also effective in similar situations. In essence, the recent achievement of the Korean and Chinese health sectors in obtaining active control of the COVID-19 pandemic was not possible without the use of state of the art medical technology.
has issue date	2020-05-28(xsd:dateTime)
bibo:doi	10.3390/ijerph17113819
bibo:pmid	32481547
has license	cc-by
sha1sum (hex)	01ea8fe37e0ca7ef5d51a502afa6588e6763b12f
schema:url	https://doi.org/10.3390/ijerph17113819
resource representing a document's title	Robotics Utilization for Healthcare Digitization in Global COVID-19 Management
has PubMed Central identifier	PMC7312924
has PubMed identifier	32481547
schema:publication	Int J Environ Res Public Health
resource representing a document's body	covid:01ea8fe37e0ca7ef5d51a502afa6588e6763b12f#body_text
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