Optimizing Insurance Claims Processing with Agile-LEAN Hybrid Models and Machine Learning Algorithms
Keywords:
Agile-LEAN hybrid, machine learning, insurance claims processing, predictive analyticsAbstract
A transformative model for optimise insurance claim is processing utilises the integrated model of Agile methodologies, LEAN principles, and machine learning (ML) algorithms. The aim of this research paper is to investigate the efficiency of the Agile-LEAN hybrid framework added to predictive analytics techniques which includes Random Forest and Gradient Boosting helps in streamlining claim evaluation, routing, and approval workflows.
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