Advanced Artificial Intelligence Algorithms for Streamlining Claims Processing and Decision-Making in Healthcare Insurance Systems
Keywords:
Artificial Intelligence (AI), Healthcare Insurance Systems, Claims Processing, Decision-Making Algorithms, Machine Learning, Operational Efficiency, Ethical AI IntegrationAbstract
The complexity of claims processing and decision-making in healthcare insurance systems poses significant operational challenges. Advanced artificial intelligence (AI) algorithms have the potential to revolutionize these processes, offering improved accuracy, efficiency, and scalability. This research explores the deployment of state-of-the-art AI techniques, such as machine learning, natural language processing, and neural networks, to streamline claims handling and enhance decision-making. A comprehensive literature review identifies key algorithms and applications, while empirical analysis evaluates their performance in real-world scenarios. The findings demonstrate that AI can reduce processing times, enhance accuracy, and minimize human bias, thereby fostering trust in healthcare insurance systems. However, ethical considerations and the need for transparent algorithmic decision-making remain critical. This study underscores the transformative potential of AI while advocating for policy frameworks to ensure its ethical and equitable deployment.
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Copyright (c) 2021 Pedamallu Sri Sai Manikya Gagan, Lakshmi Narasimhan Srinivasagopalan (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
