Patient Jarvis, an AI-powered healthcare data accelerator, provides a dynamic view of patient healthcare history, enabling data-driven decisions through holistic insights. Analyzing patient data can be challenging due to its complexity involving descriptive and predictive insights. Patient Jarvis helps pharmaceutical companies understand their patient base, as well as the behavior of physicians, giving a broader perspective on their brand's position in the market.

Patient Jarvis harnesses the potency of real-world insights by amalgamating diverse types of claims data sets, ensuring their accuracy to depict each patient's journey comprehensively. It simplifies the convoluted analysis of complex real-world evidence (RWE) data, unveiling nuanced insights. Empowering pharmaceutical companies, Jarvis fosters a profound understanding of patient demographics, physician behaviors and market dynamics. Armed with this clarity, pharmaceutical companies can make data-driven decisions that resonate with patients, enabling them to thrive in the competitive market landscape.

Patient Jarvis is built using AWS Glue, RedShift, Lambda, Step Function, Sage Maker, Bedrock and S3.