Leveraging Multisource Health Data to Personalize Health Plans

This case study outlines the collaboration between NTT DATA and its customers to enhance personalized health plans through the integration of multisource health data. The document details the challenges faced in handling sensitive health data, which is heavily regulated and restricts sharing without privacy protections. It presents a solution utilizing Duality Analytics and machine learning, where NTT DATA scientists performed a join function on encrypted data from various institutions, ensuring that the data remained within the owners' firewalls during analysis. The results indicate that NTT DATA can now offer insights to their customers, enabling them to provide end users with optimized health plans tailored to their specific needs. These plans include subsidized health and wellness options for high-risk users and cost-effective healthcare plans for those with lower risk, all while maintaining data privacy and compliance. The case study emphasizes the importance of data protection and privacy in the analysis of sensitive personal information.