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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM38835
Volume:
8 |
11 |
Nov 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The healthcare industry faces significant challenges due to insurance fraud, which increases costs and undermines trust. Traditional methods of fraud detection are largely manual and unable to keep pace with the complexity and volume of healthcare data. This paper proposes a hybrid system that combines Artificial Intelligence (AI) and Blockchain to address these issues, aiming for a secure, accurate, and transparent approach to healthcare insurance fraud detection. AI analyzes claims data in real-time to detect anomalous patterns, while Blockchain technology ensures secure, immutable records of claims. This paper discusses the architecture, components, and advantages of integrating AI and Blockchain for fraud detection, and highlights the potential of this hybrid approach to transform fraud management in healthcare.
KEYWORDS
Publication Date
11/17/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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