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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39967
Volume:
8 |
12 |
Dec 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.
Healthcare fraud remains a significant global challenge, with annual costs ranging from $68 billion to $300 billion in the U.S. alone, representing 3-10% of healthcare expenditures (SAS, 2024; Markovate, 2024). These fraudulent activities burden insurers, providers, and patients, increasing operational costs and limiting resources for genuine healthcare needs. With the growing adoption of online healthcare services, doctor appointment systems have become increasingly vulnerable to fraud and security breaches. This paper explores the integration of artificial intelligence (AI) techniques, including machine learning and natural language processing, to enhance fraud detection and strengthen system security. A strategic framework leveraging these technologies is proposed to effectively mitigate fraud while ensuring system integrity and maintaining user trust. The findings demonstrate that AI-based approaches can significantly reduce fraudulent activities and enhance the overall security of healthcare booking systems.
KEYWORDS
Publication Date
12/21/2024
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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