Bengaluru, India

Nitan Basant


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 74(Granted Patents)


Company Filing History:


Years Active: 2012

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Nitan Basant: Innovator in Healthcare Insurance Fraud Detection

Introduction

Nitan Basant is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of healthcare insurance through his innovative patent. His work focuses on enhancing the detection of fraudulent claims, which is crucial for maintaining the integrity of the insurance industry.

Latest Patents

Nitan holds a patent titled "Healthcare insurance claim fraud detection using datasets derived from multiple insurers." This patent describes various techniques that enable smaller insurers, or those with less developed datasets, to identify potentially fraudulent or erroneous healthcare insurance claim elements. By leveraging datasets from larger insurers or a consortium of insurers, smaller companies can improve their fraud detection capabilities. The patent also outlines related techniques, apparatus, systems, and articles that support this innovative approach.

Career Highlights

Nitan Basant is currently associated with Fair Isaac Corporation, a company known for its advanced analytics and decision management solutions. His role at Fair Isaac Corporation allows him to apply his expertise in developing solutions that address critical challenges in the insurance sector.

Collaborations

Nitan has collaborated with notable colleagues, including Michael K. Tyler and Robin P. Their combined efforts contribute to the advancement of technologies that enhance the efficiency and effectiveness of fraud detection in healthcare insurance.

Conclusion

Nitan Basant's innovative work in healthcare insurance fraud detection exemplifies the importance of leveraging data to combat fraudulent activities. His contributions are vital for improving the reliability of insurance claims processing.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…