19 AUG 2022 (NewsRx) — By a News Reporter-Staff News Editor at Health policy and law daily — Research findings in engineering are discussed in a new report. According to news reporting out of Gujarat, India, by NewsRx editors, research stated: “Today, health insurance has become an important part of people’s lives as the number of health problems increases. Health care emergencies can be distressing for people who cannot afford large expenses.”
The news journalists obtained a quote from the research from Nirma University: “Health insurance helps people cover healthcare expenses in the event of a medical emergency and provides financial backup against debt risk. Health insurance and its many benefits can face many security, privacy and fraud issues. In recent years, fraud has been a sensitive topic in the health insurance area, as it causes large losses for individuals, private companies and authorities. So it is important for national governments and private firms to develop systems to detect fraud 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 a systematic survey for artificial intelligence (AI) and blockchain-enabled secure fraud detection in health insurance in this paper. This article presents a taxonomy of various security issues in health insurance. We proposed a blockchain and AI-based secure and intelligent system to detect health insurance fraud.”
According to the news reporters, the research concluded: “Next, a case study related to health insurance fraud is presented. Finally, the open issues and research challenges of implementing the blockchain and an AI-driven fraud detection system for health insurance 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 – The publisher of IEEE Access is IEEE.
A free version of this journal article is available at
Our news editors report that further information can be obtained by contacting Khyati Kapadiya, Department of Computer Science and Engineering, Institute of Technology, Nirma UniversityAhmedabad, Gujarat, India. Additional authors for this research include Usha Patel, Rajesh Gupta, Mohammad Dahman Alshehri, Sudeep Tanwar, Gulshan SharmaPitshou N. Bokoro.
(Our reports deliver fact-based news about research and discoveries from around the world.)
