Finding the Invisible: AI for Rare Disease Patient Identification
Rare disease patients often face lengthy diagnostic delays due to fragmented clinical data and nonspecific symptoms. Join us for this session to explore how artificial intelligence (AI) and integrated real-world data (RWD)—including electronic health records, medical and pharmacy claims, laboratory results, and diagnostic testing data—can help identify patients who may have an undiagnosed rare disease.
You’ll learn about:
How AI-powered analytics can be leveraged to uncover meaningful clinical patterns within healthcare provider patient populations, enabling earlier recognition of individuals at risk
Ways data-driven insights can support targeted engagement with treating healthcare providers, reinforcing appropriate clinical evaluation and diagnostic testing
Best practices for effectively combining advanced analytics with personalized provider outreach
Discover how you and your organization can help shorten the path to diagnosis, improve patient identification, and create opportunities for earlier intervention and better outcomes for individuals living with rare diseases. Register today!
Speakers
