Health Data & Analytics

FHIR APIs enable standardized health data exchange. NLP extracts structured data from unstructured clinical notes. De-identification technology protects patient privacy while enabling analytics. Federated learning enables AI training across institutions without moving data. Knowledge graphs map relationships between diseases, treatments, and outcomes.

Real-world evidence platforms support drug approvals and payer negotiations. Population health analytics identify at-risk patients for proactive intervention. Clinical trial matching connects patients with relevant studies. Quality reporting automates CMS quality measure calculations.

Health data and analytics platforms aggregate, integrate, and analyze healthcare data from EHRs, claims, and real-world sources. With 5 funders. Healthcare's data infrastructure challenge: abundant data trapped in siloed systems that cannot communicate.