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Innovaccer

Collecting data from different systems (Data Acquisition)
Combining and cleaning it (Integration, Data Quality)
Managing patient records and provider info (Master Data Management)
Tagging and organizing it (Data Classification & Governance)
Running analytics and building AI models (Analytics, AI Studio)
Creating custom healthcare apps (App Marketplace)
Using AI as a built-in assistant (AI as BI + Agent-first approach)
This platform will let healthcare teams build solutions quickly without starting from scratch each time. For example, they ll be able to:
Track and manage kidney disease patients across different hospitals
Speed up clinical trials by analyzing real-world patient data
Help pharmacies manage their stock better with predictive supply chain tools
Detect early signs of diseases like diabetes or cancer with machine learning
Ensure regulatory compliance automatically through built-in checks