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A SURVEY ON DATA PRIVACY IN ELECTRONIC PRESCRIPTION
Advances and Applications in Mathematical Sciences ; 20(11):2661-2670, 2021.
Article in English | Web of Science | ID: covidwho-1651865
ABSTRACT
In this digital world with high advancement of technologies, there is utmost need to perform technological advancement in healthcare domain. In this covid-19 situation each citizen must feel that if the doctor can pass the prescription electronically, then not required to visit the hospitals. At the other end, privacy of patient history or data is again critical task at the time of handling E-prescription. This paper represents different approaches that are taken towards the data privacy in electronic prescription, it talks about different methods through which privacy of any electronic prescription is maintained. Electronic prescription is the digital version of having a prescription, it involves sending of prescription through the internet to the patient's account which it is meant to. Talking about storage despite its utilization, there are also several hindrances with regards to the protection of data which is being stored to the cloud. Highly professional and encouraging hackers are now attempting their possible best to intercept or thieve large amounts of data consisting of vital and critical information that has been transmitted or stored in the cloud. In this paper, thorough study and analysis talk about how a user can be authenticated using different mediums or methods to ensure that prescription is delivered at the right place and a brief comparison between how the electronic prescription has been implemented in several developed countries. We will also look on the usability and the deployability of electronic prescription in these developed countries.
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Collection: Databases of international organizations Database: Web of Science Type of study: Observational study Language: English Journal: Advances and Applications in Mathematical Sciences Year: 2021 Document Type: Article

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Collection: Databases of international organizations Database: Web of Science Type of study: Observational study Language: English Journal: Advances and Applications in Mathematical Sciences Year: 2021 Document Type: Article