ItemConference Paper

Leveraging Big Data and AI for Optimizing Health Insurance Claims and Risk Assessment in Healthcare Financing

Title
Leveraging Big Data and AI for Optimizing Health Insurance Claims and Risk Assessment in Healthcare Financing
Creator
Sehajpal, Sabina; Kaur, Ravneet; Singh, Ajay; Bhatnagar, Mukul
Description
This research elucidates the transformative potential of big data analytics and artificial intelligence in optimizing health insurance claims and risk assessment by employing an empirically robust framework encompassing reliability and validity metrics, Heterotrait-Monotrait Ratio (HTMT) analysis, and bootstrapping to unravel the intricate interdependencies among constructs such as AI model accuracy, claims processing efficiency, cost efficiency, data quality, fraud detection accuracy, system usability, and user trust interface, thereby advancing a comprehensive understanding of the systemic synergies that enhance predictive precision, operational scalability, and equitable resource allocation within the healthcare financing paradigm. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
Source
Lecture Notes in Networks and Systems;Volume;1464 LNNS;pp.405-413
Date
01-01-2026
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Data interoperability; Digital transformation; Ethical AI; Healthcare equity; Operational efficiency; Predictive modeling; Stakeholder trust; System optimization
Coverage
Sehajpal S., Chandigarh University, Punjab, Chandigarh, India; Kaur R., Chandigarh University, Punjab, Chandigarh, India; Singh A., Christ University, Karnataka, Bengaluru, India; Bhatnagar M., Graphic Era Deemed to be University, Dehradun, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-981967519-7;
Format
online
Language
English
Type
Conference paper

Citation

Sehajpal, Sabina; Kaur, Ravneet; Singh, Ajay; Bhatnagar, Mukul, “Leveraging Big Data and AI for Optimizing Health Insurance Claims and Risk Assessment in Healthcare Financing,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25599.

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