Integrating Large Language Models with Cloud-Based Digital Marketing Analytics for Secure Targeted Advertising in Healthcare ERP Web Applications
DOI:
https://doi.org/10.15662/IJARCST.2022.0503004Keywords:
Large Language Models, Cloud-based Analytics, Digital Marketing, Targeted Advertising, Healthcare ERP, Data Security, Personalization, HIPAA Compliance, Healthcare Marketing, Real-time Analytics, Scalable Solutions, Patient DataAbstract
The integration of Large Language Models (LLMs) with cloud-based digital marketing analytics is revolutionizing targeted advertising within healthcare ERP (Enterprise Resource Planning) web applications. This combination allows for enhanced personalization, enabling healthcare organizations to deliver more relevant and effective marketing content to patients while maintaining strict data security standards. LLMs leverage patient data, such as demographics and medical history, to generate tailored advertising campaigns, improving engagement and outcomes. By utilizing cloud platforms, these systems can scale effortlessly, providing real-time analytics and ensuring compliance with healthcare regulations, such as HIPAA. The use of LLMs also enhances the efficiency and effectiveness of advertising strategies, ensuring improved ROI. This paper explores how this integration can create a secure, data-driven, and scalable solution for digital marketing in the healthcare sector.
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