New Nirma University Technical Findings Released (Blockchain and AI-Empowered Healthcare Insurance Fraud Detection: an Analysis, Architecture, and Future Prospects): Engineering – InsuranceNewsNet

August 19, 2022 (NewsRx) — By a News Reporter – Staff News Editor at Health policy and daily law — Findings from the engineering research are discussed in a new report. According to reports from Gujarat, India, by the editors of NewsRx, the research said, “Health insurance has become an essential part of people’s lives these days as the number of health problems increases. Medical emergencies can be inconvenient for people who cannot afford huge expenses.

Journalists got a citation from the research of Nirma University“Health insurance helps cover health costs in the event of a medical emergency and provides financial protection against the risk of debt. Health insurance and its many benefits can be plagued with many security, privacy, and fraud issues. In recent years, fraud has been a hot topic in the field of health insurance because it leads to high losses for individuals, private companies and governments. It is therefore essential that national authorities and private companies develop systems to detect fraudulent cases and payments. A high volume of health insurance data in electronic form is generated, which is highly sensitive and attracts malicious users. Motivated by these facts, we present in this article a systematic investigation of artificial intelligence (AI) and blockchain-secured health insurance fraud detection. This article presents a taxonomy of various health insurance security issues. We proposed a secure and intelligent system based on blockchain and AI to detect health insurance fraud.

According to the reporters, the research concluded: “Next, a case study related to health insurance fraud is presented. Finally, open issues and research challenges related to the implementation of blockchain and an AI-enabled health insurance fraud detection system are presented.

For more information on this research, see: Blockchain and AI-Empowered Healthcare Insurance Fraud Detection: an Analysis, Architecture, and Future Prospects. IEEE Access, 2022.10():79606-79627. (IEEE Access – http://ieeexplore.ieee.org/servlet/opac?punumber=6287639). The publisher for IEEE Access is IEEE.

A free version of this review article is available at https://doi.org/10.1109/ACCESS.2022.3194569.

Our editors report that additional information can be obtained by contacting Khyati Kapadiya, Department of Computer Science and Engineering, Institute of Technology, Nirma UniversityAhmedabad, Gujarat, India. Other authors of this research include Usha Patel, Rajesh Gupta, Mohammad Dahman Alshehri, Sudeep Tanwar, Gulshan SharmaPitshou N. Bokoro.

(Our reports provide factual information on research and discoveries from around the world.)

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