HEALTH INSURANCE FRAUD DETECTION: THE ROLE OF ADVANCED IT SYSTEMS IN PREVENTING AND IDENTIFYING FRAUD

In this study, the usage of advanced IT systems such as AI, machine learning, blockchain and others is studied in the field of detection of health insurance fraud. Results indicate that AI driven fraud detection model improves fraud detection accuracyby a large margin, but decreases their false positives and financial losses.This integration of blockchain has encryption guaranteeing the safety of the data and that of claims processing.The findings imply that AI and blockchain complemented one another to make better fraud prevention in the health insurance sector.

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Publication Details

Journal
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Published
2025-02-20
DOI
https://doi.org/10.34218/ijcet_16_01_259
Citations
1
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

HEALTH INSURANCE FRAUD DETECTION: THE ROLE OF ADVANCED IT SYSTEMS IN PREVENTING AND IDENTIFYING FRAUD

Sunil Kumar Mudusu
1 citations
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Imbalanced Data Classification Techniques
2.48
article

HEALTH INSURANCE FRAUD DETECTION: THE ROLE OF ADVANCED IT SYSTEMS IN PREVENTING AND IDENTIFYING FRAUD

Sunil Kumar Mudusu
article en
1 citations

Abstract

In this study, the usage of advanced IT systems such as AI, machine learning, blockchain and others is studied in the field of detection of health insurance fraud. Results indicate that AI driven fraud detection model improves fraud detection accuracyby a large margin, but decreases their false positives and financial losses.This integration of blockchain has encryption guaranteeing the safety of the data and that of claims processing.The findings imply that AI and blockchain complemented one another to make better fraud prevention in the health insurance sector.

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGYVol. 16(1)
Northwestern Mutual Life Insurance (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Imbalanced Data Classification Techniques
2.48
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