MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123435 A) filed by Nagabhushanam Bheemisetty, Kadapa, Andhra Pradesh, on Dec. 8, 2025, for 'a scalable data engineering framework for personalized prescription recommendations and cost efficiency.'

Inventor(s) include Nagabhushanam Bheemisetty.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "This Scalable Data Engineering Framework provides a real-time, cloud-native architecture for personalized prescription recommendations and cost optimization in healthcare. It ingests diverse, high-velocity data, including electronic health records, claims data, and patient-generated sensor information. The framework employs advanced Machine Learning models, such as collaborative filtering and deep learning, to predict individual patient response, adherence risk, and total treatment cost for various medications. The system generates precise, patient-specific prescription alternatives, enabling clinicians to make evidence-based decisions that maximize therapeutic efficacy while simultaneously minimizing expenses for both the patient and the healthcare system. The architecture is designed for security, scalability, and compliance."

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