NLP-Driven Benefits Interpretation Engine for Personalized Member Communication
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V3I1P118Keywords:
Natural Language Processing (NLP), Benefits Interpretation, Personalized Communication, Member Engagement, Machine Learning, AI-driven Automation, Healthcare TechnologyAbstract
Tailoring communication to individual needs through healthcare, insurance, and HR benefits channels is essential for elevating member engagement and understanding. However, entities are finding it challenging to decode and present the intricate benefit materials in a manner that is easy for the layman to understand. Conventional ways of communication hardly bear the intricacies of a person's needs, thus resulting in confusion and lack of satisfaction. To overcome this, the NLP-driven Benefits Interpretation Engine being proposed utilizes cutting-edge natural language processing and AI techniques to automatically scan and understand benefit documentation and thus generate in a clear, personalized fashion the summaries that the technical person can understand. The organization system includes semantic understanding, contextual adaptation, and dynamic personalization to produce member-specific clarifications that elevate understanding and trust. The model in the scenarios realized deepened accuracy in interpreting benefits as well as lofted levels of member satisfaction and communication effectiveness. Possible developments will feature multilingual support for different member groups and live chat that will allow users to receive instant, interactive explanations of the benefits thus placing the engine as a revolutionary means of communication of personalized benefits.
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