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A framework for Automated E-Message alert of Covid status using Robotic Process Automation
European Journal of Molecular and Clinical Medicine ; 9(7):8388-8394, 2022.
Article in English | EMBASE | ID: covidwho-2168680
ABSTRACT
Artificial intelligence (AI)/digital employees, or metaphorical software robots (bots), are the foundation of the business process automation technology known as robotic process automation (RPA). The term "software robotics" has been used sometimes (not to be confused with robot software). Using internal application programming interfaces (APIs) or specialized scripting languages, a software developer creates a set of steps to automate a job and interface to the back-end system in conventional workflow automation technologies. RPA systems, on the other hand, create the action list by seeing the user carry out the job in the graphical user interface (GUI) of the programme, and then carry out the automation by repeating those actions directly in the GUI. In products that may not normally have APIs for this purpose, this can lessen the barrier to the usage of automation. Nowadays, monitoring every day covid status is not possible for an individual. So, the plan is to send an updated covid status through email automatically to the end users by using Robotic Process Automation (RPA). The main goal of this paper is to send corona information to the end users who are in need of covid details. For this, the end user wants to provide their email id and country name which they want to know about. The rest of the RPA process will be done by the bot using data scraping. Then email automation will be done to send email automatically. It is easy to check the required particular data from the cluster of data. It is easy to read and understand for all end users. Copyright © 2022 Ubiquity Press. All rights reserved.
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Collection: Databases of international organizations Database: EMBASE Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EMBASE Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2022 Document Type: Article