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Digital Government: Research and Practice ; 2(1), 2021.
Article in English | Scopus | ID: covidwho-1772333


The COVID-19 public health emergency caused widespread economic shutdown and unemployment. The resulting surge in Unemployment Insurance claims threatened to overwhelm the legacy systems state workforce agencies rely on to collect, process, and pay claims. In Rhode Island, we developed a scalable cloud solution to collect Pandemic Unemployment Assistance claims as part of a new program created under the Coronavirus Aid, Relief and Economic Security Act to extend unemployment benefits to independent contractors and gig-economy workers not covered by traditional Unemployment Insurance. Our new system was developed, tested, and deployed within 10 days following the passage of the Coronavirus Aid, Relief and Economic Security Act, making Rhode Island the first state in the nation to collect, validate, and pay Pandemic Unemployment Assistance claims. A cloud-enhanced interactive voice response system was deployed a week later to handle the corresponding surge in weekly certifications for continuing unemployment benefits. Cloud solutions can augment legacy systems by offloading processes that are more efficiently handled in modern scalable systems, reserving the limited resources of legacy systems for what they were originally designed. This agile use of combined technologies allowed Rhode Island to deliver timely Pandemic Unemployment Assistance benefits with an estimated cost savings of $502,000 (representing a 411% return on investment). © 2020 Owner/Author.

6th International Conference on Image Information Processing, ICIIP 2021 ; 2021-November:551-555, 2021.
Article in English | Scopus | ID: covidwho-1741202


There has been a fundamental shift in the way firms in every industry manage, examine, and utilize their data. Health care is one of the most promising industries in which the use of big data may make a positive impact. Healthcare technology is being improved at a fast rate as an outcome of growing information and innovative innovation. In healthcare, there are different articles of big data. Digital medical data, biometric data, medical image processing, biosensor data, physician data, patient information, and administrative data are examples of these types. Many combined technologies are being deployed to modify healthcare systems in the COVID-19 pandemic. The security of medical data is required for the management of an integrated healthcare solution. In this paper, we found that many researchers face significant hurdles in encrypting sensitive patient information to prevent misuse or leakage. Our aim is to provide a focus on security issues in healthcare system and try to give a solution. © 2021 IEEE.