Leveraging Cloud based Virtual Care as a Tool Kit for Mitigating Risk of Exposure during a Pandemic
Author(s) -
Rajesh Vargheese
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.08.062
Subject(s) - computer science , pandemic , social distance , cloud computing , telehealth , analytics , health care , population , covid-19 , internet privacy , telemedicine , data science , medicine , environmental health , disease , pathology , infectious disease (medical specialty) , economics , economic growth , operating system
Pandemic is an epidemic occurring over a very wide area affecting large number of people when new strains emerge for which people have very less resistance and there are no readymade vaccines available. Pandemic can spread in a short amount of time from person to person and especially, the care givers that the patients with flu interact are at higher risk of exposure. Virtual care, leveraging collaboration technologies can be extremely useful in such situations to maintain essential services for patients and communities but limit the risk to your staff that is providing services by enabling social distancing. Leveraging dependent information vectors, analytics can be used to open up local clinics that are closer to affected population and can be operated remotely by providers to provide care at the same time not exposing themselves to the direct contact with patients. We will look at some unique ways that virtual care methods such as Telehealth, m-health and remote care can be leveraged to efficiently reduce the risk. These include, but not limited to such as video analysis based pre-evaluation of patients, remotely controlled lockers for sample collection, gesture and voice based non touch controls
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