Think of this as a smart GPS for healthcare: it helps doctors and patients follow a single, evidence-based route from first symptom through treatment and follow-up, using AI to give the right guidance at the right moment in each setting of care.
Healthcare journeys are fragmented: clinicians see partial information, patients get inconsistent instructions, and evidence-based guidance is hard to keep current across hospitals, clinics, and home care. This solution aims to unify clinician and patient experiences around the same, up-to-date medical evidence and care pathways, reducing variation in care and improving outcomes.
Deep, curated clinical content and evidence assets, embedded into clinician and patient workflows, combined with long-standing relationships with health systems and payers; high switching costs once embedded in clinical pathways and EHR ecosystems.
Hybrid
Vector Search
Medium (Integration logic)
Context window cost and latency for complex multi-document clinical evidence retrieval, plus strict data privacy/compliance requirements when scaling across health systems.
Early Majority
Positioned as an evidence-first layer that unifies clinician and patient journeys across multiple care settings, rather than just an EHR feature or standalone patient app; leverages proprietary clinical content and guidelines integrated with AI-driven decision support.