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Blending AI and Behavioral Science to Improve Dual Eligibility Advocacy

August 2, 2018

INPUT DATA Member data, with over 20 individual attributes, is collected from the health plan and prepared for processing. UTPUT DATA Artificial intelligence uses machine learning to analyze data and identify members with the highest likelihood for dual-eligibility, faster and more accurately than traditional rules-based systems.

Spotlight

NLP Logix

NLP Logix is an advanced analytics and machine learning data product and services company, which has grown from a vision in 2011 to one of the fastest growing teams of deep learning practitioners. NLP Logix is an experienced team of data scientists who are capable of taking large and disparate data sources and returning actionable and valuable information in a fraction of the time compared to traditional techniques. The company was started by three professionals who worked together at a medical services company developing and applying predictive models and advanced analytics into its workflows. When the founders started NLP Logix, they began competing in international data science contests hosted by Kaggle.com…and started winning.

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Blending AI and Behavioral Science to Improve Dual Eligibility Advocacy