Algorithm-Driven Cost Optimization and Scalability in Analytics Transformation for National Health Plans

Authors

  • Srinivas Bangalore Sujayendra Rao ZS Associates, USA Author
  • Prabhu Krishnaswamy Oracle Corp, USA Author
  • Thirunavukkarasu Pichaimani Molina Healthcare Inc, USA Author

Keywords:

analytics transformation, algorithm-driven optimization, IT cost reduction, scalability, predictive analytics, operational efficiency

Abstract

Algorithm driven approach in rapidly evolving transformation in national health plans for cost optimization and scalability, ensuring alignment with enterprise objectives. The aim of the study is to introduce a sophisticated model that utilises process optimization algorithms and technology assessment that can achieve substantial IT cost reductions while modernising data platforms.

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Published

11-09-2022

How to Cite

[1]
Srinivas Bangalore Sujayendra Rao, Prabhu Krishnaswamy, and Thirunavukkarasu Pichaimani, “Algorithm-Driven Cost Optimization and Scalability in Analytics Transformation for National Health Plans ”, Newark J. Hum. Centric AI Robot Inter., vol. 2, pp. 120–152, Sep. 2022, Accessed: Dec. 21, 2025. [Online]. Available: https://njhcair.org/index.php/publication/article/view/27