OpenEvidence operates a HIPAA-compliant medical information platform that handles over 100 million AI-powered clinical consultations from U.S. doctors and frontline clinicians. The system functions as a natural language search and retrieval layer over medical literature, synthesizing evidence from trusted sources to deliver point-of-care clinical decision support. With more than 40% of U.S. physicians logging in daily, the platform addresses a core bottleneck in clinical workflows: the exponential growth of medical knowledge against fixed physician time budgets. The system surfaces relevant evidence in seconds rather than the hours traditional literature review requires.
The technical architecture supports evidence synthesis across landmark medical literature, aggregating content through clinical partnerships while maintaining compliance constraints required for healthcare settings. The platform serves as a knowledge management system that operates across practice environments - from academic medical centers to rural clinics - suggesting infrastructure designed for variable network conditions and diverse deployment contexts. Free access for verified U.S. healthcare professionals indicates a distribution model optimized for maximum clinician adoption rather than per-seat pricing common in enterprise healthcare software.
Core technical domains span clinical decision support, AI copilot functionality for clinicians, and content aggregation from medical literature sources. The system's reliability requirements are elevated given its role in clinical decision pathways affecting patient outcomes, demanding careful evaluation of failure modes where incorrect or incomplete evidence synthesis could influence treatment decisions.