Authors:
Ritcha Saxena, Vikas Sharma, Ritwik Raj Saxena

Addresses:
1Department of Biomedical Sciences, University of Minnesota School of Medicine, Duluth, Minnesota, USA. 2Department of Computer Science, Delhi Technological University, Delhi, India. 3Department of Computer Science, University of Minnesota, Duluth, USA.rsaxena@d.umn.edu1, vikassharma12387@gmail.com2, saxen130@d.umn.edu3

Abstract:

In the rapidly evolving medical education landscape, technology integration is synonymous with progress, and cloud computing emerges as a transformative force. This article discusses how cloud computing has transformed medical education for aspiring healthcare professionals. As we enter the digital age, cloud technology and medical education must work together to ensure connectivity, accessibility, and preparation for current healthcare concerns. The partnership between cloud computing and medical education shows how technology may mould the future generation of healthcare workers. As cloud storage becomes simpler and more capable, conventional systems are being replaced, making cloud resources more tempting. Data privacy is vital, so personal data must be encrypted before outsourcing. This requires a paradigm shift from keyword-based data use. To solve this problem, the essay provides an efficient encrypted cloud information search solution. The proposed system supports synonym queries to improve multi-keyword searches, a novel synonym-based search strategy. The report also stresses the necessity of ranked search for more relevant and thorough results. The proposed solution uses ranked searches to enable an effective searchable system, especially for terminology-based multi-keyword questions, unlike existing methods that only help with fuzzy keywords or correct queries over encrypted cloud data. In conclusion, cloud computing has the potential to alter medical education by tackling the difficulties of secure and efficient data retrieval. 

Keywords: Transforming Medical Education; Multi-Keyword Ranked; Cloud Environment; Terminology-Based Multi-Keyword Questions; Efficient Encrypted Cloud Information; Conventional Systems; Healthcare Workers.

Received on: 21/02/2023, Revised on: 29/05/2023, Accepted on: 05/08/2023, Published on: 19/12/2023

FMDB Transactions on Sustainable Computing Systems, 2023 Vol. 1 No. 3, Pages: 135-146

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